Exhibitions and Demos

European Commission & SNS JU

The European Smart Networks and Services Joint Undertaking (SNS JU) is a Public-Private Partnership that aims to facilitate and develop industrial leadership in Europe in 5G and 6G networks and services. The SNS JU funds projects that shape a solid research and innovation (R&I) roadmap and deployment agenda by engaging a critical mass of European stakeholders and facilitating international cooperation on various 6G initiatives.

Industrial Technology Research Institute (ITRI)

Taiwan ICT Tech Innovation: Your Trusted Partners in the 6G Journey

 Industrial Technology Research Institute (ITRI) is one of the world’s leading technology R&D institutions aiming to innovate a better future for society. Founded in 1973, ITRI has played a vital role in transforming Taiwan’s industries from labor-intensive into innovation-driven. To address market needs and global trends, it has launched its 2035 Technology Strategy and Roadmap that focuses on innovation development in Smart Living, Quality Health, Sustainable Environment, and Resilient Society. Over the years, ITRI has been dedicated to incubating startups and spinoffs, including well-known names such as UMC and TSMC. In addition to its headquarters in Taiwan, ITRI has branch offices in the U.S., Germany, Japan, and Thailand in an effort to extend its R&D scope and promote international cooperation across the globe. For more information, please visit https://www.itri.org/eng.
The demo will showcases following Taiwan’s extensive expertise in B5G/6G developed by leading industries and academia:

• Auden: Pisces, Ultra compact GEO IoT UT
• BenQ Materials: Highly Transparent mmWave Reflector
• TMYTEK: XRifle Dynamic RIS
• YTTEK Technology: 24” Liquid Crystal RIS and 400MHz SDR platform
• National Taiwan University of Science and Technology: Practical Implementation of Next-Generation Agentic AI Applications: Smart Agriculture Digital Twin System Integrating O-RAN, UAV, and RIS

Also, ITRI will showcase following 6G advanced technologies:

• 5G-A/6G NTN gNB System for Multi-Orbit Applications
• RIS Planner and RIS Controller

Part of the exhibition will be partnered with EU SNS JU 6G-SANDBOX Project as following:

• FR1 Integrated Sensing and Communications (ISAC) People Positioning
• FR2-RIS connectivity reinFORCEment for Malaga platform (RISFORCE

Orange

Orange is one of the world’s leading telecommunications operators. The Group has a total customer base of 294 million customers worldwide at 31 March 2025, including 256 million mobile customers and 22 million fixed broadband customers. We rely on our research teams to explore groundbreaking technologies, new uses and innovative business models as well as to deploy next generation networks and services. Our researchers will show the following demos at the booth:

• Escape‑Room: Telco Edition
  Project Sylva’s Way Out of Proprietary K8s
• TAIA: Telco Generative AI-powered Multi-Agent Assistant for managing Cloud-Native Networks
• Failure prediction with Machine Learning for Core NF’s
• Cloud Ransomware Protection
• Fiber RootCause AI Ready

6G Flagship

6G Flagship is a sponsor and co-organizer of the EuCNC+6G Summit. 6G Flagship has been co-organizing these events since 2021. 6G Flagship is the world’s first 6G research program, a global leader in 5G adoption, and a preferred research partner in 6G development. 6G Flagship promotes high-quality 6G research to create future know-how and sustainable solutions for society’s needs in the 2030s. 6G Flagship operates under the University of Oulu, which also funds 6G Flagship together with the Research Counsil of Finland.
As pioneers in 6G research, our research teams support project innovation and effectiveness from concept to completion by contributing with extensive experience to a wide range of European research, innovation, and training projects. Our proven expertise fostering industrial growth and reacting to global challenges spans many ICT themes and verticals, including mobility, industry 4.0, health, energy, climate change, and civil security. Some of the results are demonstrated in here.

Nokia Bell Labs

For the past 100 years, Bell Labs has been harnessing the extraordinary imaginations of our researchers to fuel visionary breakthroughs. Our pioneering progress has expanded possibilities to solve humanity’s most pressing challenges. As Nokia’s industrial research lab, we keep innovating with purpose, pursuing responsible, sustainable technologies that will have a demonstrative impact on society.
www.nokia.com/bell-labs/100

Keysight

At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product life cycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Keysight in Europe plays an active role in advancing 6G research by collaborating with top-tier service providers, vendors, research institutes, and universities. Through partnerships, Keysight contributes to crucial European and government-funded research, as well as innovation and trial projects. These collaborative efforts are specifically geared towards facilitating the development and deployment of next-generation network technologies and interconnected devices. Learn more at www.keysight.com/find/6G

VIRGINIA DIODES INC.

VDI manufactures state-of-the-art test and measurement equipment for mmWave and THz applications. These products include Vector Network Analyzer, Spectrum Analyzer and Signal Generator Extension Modules that extend the capability of high performance microwave measurement tools to higher frequencies. VDI’s component products include detectors, mixers, frequency multipliers and custom systems for reliable operation at frequencies between 50 GHz and 2 THz. All VDI components include in-house fabricated GaAs Schottky diodes and microelectronic filter structures.

one6G

one6G is a non-profit association supporting 6G research and standardisation efforts to accelerate the adoption of advanced technologies that meet evolving industry and societal needs. By bringing together experts from academia and industry, one6G drives innovation and fosters cross-sector collaboration to shape the future of connectivity.
one6G is happy to announce the fifth edition of its flagship event – the one6G Summit, to be held in Bologna, Italy, on 18–19 Sept. 2025. Under the theme 6G Innovation: Setting the Standards for Tomorrow, the event will feature expert discussions, cutting-edge demos, and networking opportunities. Learn more at summit2025.one6g.org

Plus

Grow your business with Plus – a trusted business partner!
We belong to the Polsat Plus Group – the largest media, telecommunications and energy group in Poland.
As a brand, we combine good business practices with the latest communication technologies. We listen to the expectations of the market and focus on supporting our business partners in achieving success. In our relationships, we are guided by honesty and focus on partnership.
As a Group, we are constantly developing by implementing the latest telecommunications and network solutions in our Clients’ companies from various industries. We are a strong link in technological progress, setting trends related to the development of 5G, IoT/M2M technologies.
Our business Clients can count on cooperation with a dedicated advisor whose knowledge, commitment and experience effectively support the functioning of companies and the achievement of their goals. We provide comprehensive support in the selection and implementation of innovative solutions.
Our portfolio includes telecommunications services, high-quality data transmission services, information services, mobile and location solutions and many modern solutions tailored to the needs of each industry.

EuCNC & 6GS 2026 in Malaga!

The 2026 EuCNC & 6G Summit builds on putting together two successful conferences in the area of telecommunications: EuCNC, in its 35^th edition of a series, supported by the European Commission; the 6G Summit, in its 8th edition, originated from the 6G Flagship programme in Finland, one of the very first in its area. The conference is sponsored by the IEEE Communications Society (ComSoc), the European Association for Signal Processing (EURASIP) and the European Association on Antennas and Propagation (EurAAP) and supported by the European Commission. The conference addresses various aspects of Beyond 5G/6G communications systems and networks. It brings together cutting-edge research and world-renown industries and businesses, globally attracting in the last years close to 1 000 delegates from more than 40 countries all over the world, to present and discuss the latest results, and an exhibition with more than 50 exhibitors, for demonstrating the technology developed in the area, namely within research projects from EU R&I programmes.

The conference program will include:
● Keynotes
● Panels
● Regular sessions (papers from open call, to be submitted for uploading to IEEE Xplore)
● Special and Convened sessions, with papers on specific topics
● Workshops, with papers and presentations on specific topics
● Poster sessions
● Tutorials
● Demos and exhibitions, with pitches.
● Awards in several categories (paper, poster, booth, demo, startup, thesis)

Poznan University of Technology

Poznan University of Technology presents the latest research and innovations from the institutes of the local conference organizer. The Institute of Radiocommunications focuses on research in cellular networks, satellite communications, cognitive radio systems, cybersecurity, and physical-layer algorithms. The Institute of Communications and Computer Networks researches network architectures, communication protocols, and data transmission. The Institute of Multimedia Telecommunications specializes in digital signal processing, photonics, image compression, and intelligent multimedia systems.

6G-RIC/6G-life

6G Technologies for the Convergence of Communications, AI, and Sensing: Developments in 6G-RIC & Digital transformation and sovereignty of future communication networks

6G-RIC is an interdisciplinary research project linking 32 research groups from 20 universities and research institutions. 6G-RIC is supported by over 60 associate partners from industry, science and the public sector. The funding (70 Mil. Euro) is provided by the German Federal Ministry of Education and Research (BMBF) as part of the “Souverän. Digital. Vernetzt.” research program.
6G-RIC is technology-driven and focuses on six Technical Innovation Areas (TIAs):
– Sub-THz Mobile Access
– Intelligent Radio Environments (Intelligent Reflecting Surfaces)
– Integrated Sensing and Communication
– Semantic Communication and 6G Connectivity
– Post-Quantum Security by Design
– Autonomous Convergent Networks
6G-RIC adopts a holistic approach by jointly developing hardware, algorithms, and protocols for all of the above innovation areas. The project has a strong focus on the evaluation of the developed technologies and develops testbed and experimentation infrastructure, including integration laboratories, indoor and outdoor test fields.
6G-RIC incorporates the xG-INCUBATOR (www.xg-incubator.com), which represents the interface between the fundamental scientific research and the start-up scene in the field of wireless communication technologies. Through the xG-INCUBATOR, founding teams and start-ups have access to the infrastructure developed in 6G-RIC demonstrators to test and evaluate prototypical technology components, services and innovative applications.
The core message of the 6G-life project is to conduct cutting-edge research for future 6th generation (6G) mobile networks, driving forward new approaches to sustainability, security, resilience and latency in order to sustainably strengthen the economy and thus digital sovereignty in Germany. These objectives are highly congruent with the BMBF’s priority area of “future technologies”, in particular robotics. Not only technologies for future digital resilient infrastructures will be shown, but also their application in the field of robotics. The Universities of Excellence TU Dresden and TU Munich present themselves together as the 6G-life research hub with the start-up incubator Launchhub42 as BMBF-funded projects.

6G-Platform Germany

 6G-Platform Germany Networking Booth

The 6G Platform Germany is the umbrella organisation of the German 6G program. This 6G program comprises four large research hubs, 18 industry projects and 7 projects specialized on resilient communication infrastructure. The 6G Platform Germany provides a networking platform for these projects, establishes liaisons with other 6G programs, and, in particular, aims to initiate a “match making process” bringing EU funded and national 6G projects with similar technical focus together. The booth is intended to inform about the German 6G projects and to facilitate contacts to other projects.

BeGREEN / 6G-TWIN / EXIGENCE / 6Green / 6G-Senses

Sustainability for 6G: from Infrastructure to Services

This exhibition booth provides an in-depth presentation of five selected SNS projects, notably BeGREEN, 6G-TWIN, 6GREEN, EXIGENCE, and 6G-SENSES, that are explicitly targeting concrete ecological improvements of 6G, going from energy efficiency over carbon footprint reduction to net energy consumption limitation. Hence, each of the participating projects addresses specific challenges, yet the presented solutions are complementary in that they exhibit strong potential for synergetic integration on a system level. Together, these projects therefore could contribute concrete and quantifiable improvements towards an overall more sustainable 6G. Common to all involved projects is the strong shared belief that the technology improvement will have the strongest network effect, therefore positively influencing other aspects, such as economic and societal sustainability, in a longer run.
In this sense, the presented demos cover different aspects, ranging from RAN energy efficiency enhancement by introducing RAN (and network) monitoring and optimisation, over new architectures and enablers for improving energy efficiency of the future network, i.e., Cell-Free MIMO and Integrated Communication and Sensing, a proposed Observability Framework for monitoring energy consumption of the physical and virtual components of the network, to green, live ecolabels for future 6G services, empowering service users and incentivising them to an ecologically-aware usage.

DETERMINISTIC6G

DETERMINISTIC6G: Enabling Dependable and Time-Critical Communication for 6G Networks

DETERMINISTIC6G developed architecture and algorithms for scalable and converged future network infrastructures to enable dependable end-to-end (E2E) time-critical communication across wired and 6G wireless domains. Ensuring predictable and bounded communication latency is essential for several applications ranging from industrial automation and autonomous systems to smart farming, occupational exoskeletons, and immersive XR. In this respect, several novel key enablers have been developed during the project funding period, leading to key publications and standardization contributions. These enablers are i) Packet Delay Correction mechanisms to manage jitter in radio transmissions and ensure consistent delay, ii) An E2E delay analytics framework that identifies the significance of each network component and explores opportunities to optimize delays, iii) A deep neural network-based latency prediction framework, iv) Algorithms designed to calculate and adapt robust E2E schedules, v) A security emulation framework for real-time monitoring, and detecting time-delay attacks in E2E time synchronization, vi) The 6GDetCom simulation framework to validate wireless-optimized designs for E2E dependable communication , vii) exoskeleton emulation framework for offloading control strategies using edge computing and 6G communication and to enhance user-focused experience. Our motivation is to showcase the strongest results and developments that improve network performance and dependability in real-world settings. The demonstrations will highlight the impact of these novel technology enablers in achieving dependable 6G communications, emphasizing the relevance for standardization.

CONNECT

CONNECT – Ireland’s 6G Research Centre – SNS JU Project Demonstrations

The transition to 6G networks introduces new challenges in network intelligence, security, resource management, and sustainability. The projects showcased at our booth—ECO-eNET, 6G-XCEL, CONFIDENTIAL6G, ROBUST-6G, ARMOR, and ENSURE-6G—collectively address these challenges by integrating AI-driven automation, confidential computing, resilient network architectures, and and converged optical-wireless networking.
-ECO-eNET focuses on converged optical and wireless transport, improving energy efficiency and intelligent resource allocation.
-6G-XCEL introduces a Decentralized Multi-party, Multi-network AI (DMMAI) framework, enabling AI-driven optimization across multiple network layers.
-CONFIDENTIAL6G ensures data security in 6G through post-quantum cryptography and confidential computing.
-ROBUST-6G strengthens AI-based security mechanisms, protecting networks from adversarial threats.
-focuses on adversarial testing of AI models in O-RAN, ensuring resilience against cyber threats.
-ENSURE-6G develops comprehensive security solutions for B5G/6G to protect against cyber and physical attacks.
A key part of the demonstration is the Cooperative Transport Interface (CTI) demonstration, showcasing synchronized Open RAN-PON resource scheduling to reduce latency and enhance 6G network performance—highlighting real-world integration of AI and software-defined networking for next-generation connectivity.

VERGE

VERGE project: concept, architecture, PoCs and key project outcomes

The VERGE project is built on three core pillars that define its AI-powered edge computing architecture:
1. Edge for AI (Edge4AI)
Focuses on enabling AI-driven edge computing by integrating heterogeneous computing resources (from edge to cloud).
Provides orchestration, management, and lifecycle support for AI applications and workloads.
Supports containerized, cloud-native AI services with efficient workload distribution across the compute continuum.
2. AI for Edge (AI4Edge)
Uses AI/ML models to optimize edge computing and networking performance.
Implements AI-driven decision-making for intelligent resource allocation and network slicing.
Supports distributed AI learning methods, such as federated learning and reinforcement learning, to improve system adaptability.
3. Security, Privacy, and Trustworthiness for AI (SPT4AI)
Addresses security, privacy, and explainability challenges in AI-driven edge computing.
Implements privacy-enhancing AI techniques (e.g., homomorphic encryption, secure federated learning).
Uses formal verification methods to ensure AI decisions are reliable, safe, and compliant with industry standards.
These three pillars work together to create a scalable, secure, and intelligent edge computing framework for B5G/6G networks and smart applications.
The VERGE PoC demonstrations showcase key features of these pillars, adopting innovating blueprints of parts of the VERGE architecture.

COREnext

COREnext European Core Technologies for Next Generation Communication-Computing Hardware Building a trustworthy-by-design computing platform for 6g flagship use cases to consolidate European digital sovereignty and unlock a new economic perspective

Communication is a basic social need which is indispensable in a digital world. But to what extent will consumers feel secure in such an environment? To address both communication needs and security, one must start at the physical properties and create trustworthy systems by design.
In COREnext, we believe that trust can only be achieved if communication systems themselves have native built-in security measures across all implementation layers and data flows, thus forming trustworthy-by-design platforms. Whether it guarantees safety when using self-driving cars, allowing your home to blend with the metaverse, or simply preserving privacy despite a plethora of connected devices – these systems must all earn the consumer’s trust. COREnext has launched a broad set of studies to capture the most promising techniques, which when combined, can define how such platforms may be realised and profoundly alter the trust equation – going from an end user responsibility paradigm to a trustworthy system paradigm.
The trustworthy-by-design platform that COREnext proposes is a solution that would increase networks’ resilience against attacks. COREnext sees the accelerating security challenge as a great opportunity for Europe to regain momentum in SOC and SIP technology development that has been lost over the last decades.

HEXA-X-II

Hexa-X-II: Advancing towards an economically, environmentally and socially sustainable 6G system

Hexa-X-II is the European flagship initiative defining key technologies that will shape the 6G ecosystem. The project aims to deliver innovations related to novel network architectures, advanced management and orchestration, novel devices, radio interfaces, and an end-to-end 6G system blueprint, towards a sustainable 6G system.
The project’s objective is to create a network that not only meets the increasing demands for performance and connectivity but does so in a way that is efficient, intelligent, and scalable. Sustainability is at the core of this vision, ensuring that 6G networks are designed to reduce energy consumption, improve resource utilization, and provide reliable, secure, and inclusive connectivity. By addressing these challenges, Hexa-X-II is laying the foundation for a sustainable and high-performance communication ecosystem that supports the digital transformation of society and industries.

PREDICT-6G / DESIRE6G / MULTIX

The road towards 6G: showcase of innovations from DESIRE6G, PREDICT-6G and MULTIX

The next generation of mobile networks must provide enhanced reliability, ultra-low latency, and advanced sensing capabilities to meet the demanding requirements of future applications, such as Industry 4.0, autonomous systems, and immersive digital experiences. At the same time, networks are becoming increasingly softwarized, disaggregated, and AI-driven, enabling greater flexibility and adaptability. However, existing programmable network solutions still fall short of achieving the stringent performance and sensing capabilities expected in 6G. To this end, we propose an end-to-end 6G solution that integrates deep network programmability, deterministic networking, and multi-sensor fusion for RAN perception. This approach enables seamless support for vertical applications with performance guarantees beyond 5G. Our solution leverages large-scale deterministic networking across both edge and cloud domains, ensuring predictable and reliable connectivity. We also make enhancements to the programmability of the network fabric both vertically, by refining control and data plane interactions, and horizontally, by integrating the radio access network, edge, and core network. One of the uses of such a network enables the seamless transport of sensing information, which is required for multi-static multi-technology sensing. These advancements are essential for meeting the stringent performance requirements of 6G use cases while ensuring a more flexible and sustainable network infrastructure

6G RIGOUROUS / CONFIDENTIAL6G / ELASTIC

RIGOUROUS, CONFIDENTIAL6G, ELASTIC: Shaping a Secure 6G Future

6G infrastructures must ensure reliability, trust and resilience, on a globally connected continuum of heterogeneous environments. As the next frontier in technological advancement, they present significant challenges due to the expansive and rapidly evolving threat landscape inherent in their complex and time-critical environments. The joint participation of RIGOROUS, CONFIDENTIAL6G and ELASTIC aims to demonstrate the aligned efforts towards a secure, resilient, and efficient future for 6G services, acknowledging the heightened security and privacy concerns arising from increased network heterogeneity and complexity. The projects seek to develop frameworks that integrate advanced security measures, including post-quantum cryptography, confidential computing, and trusted execution environments, to protect data in use, transit, and at the edge. By leveraging innovative technologies like WebAssembly, Function-as-a-Service, Confidential Computing, DevPrivOps and AI-driven Automated Security Orchestration, we strive to enable flexible, scalable, and privacy-preserving service deployments, that are executed with high confidentiality and integrity, over both core and edge environments. Each project has a set of key technological demonstrators and novel concepts, developed according to each one’s scenarios and use cases. With this collaboration, we aim to demonstrate how these efforts are aligned towards realizing secure, adaptable 6G solutions, validated through practical use cases, and contribute to infrastructures that address the evolving challenges of next-generation connectivity.

SUPERIOT

The SUPERIOT Project: Towards Truly Sustainable IoT Systems

The IoT paradigm aims at connecting virtually everything. There are already billions of IoT devices being used today in diverse applications and scenarios. These include smart cities, industry, healthcare, smart homes, and logistics. In the 6G era, the number of devices is expected to grow several folds. The environmental impact of producing and disposing of such a massive number of devices could be enormous. This is especially true if no special care is taken in designing IoT systems that are highly sustainable. The SUPERIOT project is based on a holistic approach to sustainability. Sustainability is considered at the design implementation, usage, and disposal phases, creating a truly sustainable IoT system. Moreover, the SUPERIOT concept creates a highly flexible and adaptable IoT solution. The project is based on a reconfigurable IoT system that exploits radio and optical signals to provide a) wireless connectivity, b) energy harvesting and c) positioning. The developed nodes will use printed electronics technology for sustainable implementation.

6G-SHINE

In-X subnetworks in the 6G Era

Advances in wireless communication underpin the evolution toward 6G networks, where ultra-low latency, high reliability, and adaptive connectivity are paramount. The demonstrated technologies derive from the need to overcome challenges such as interference management, dynamic channel conditions, and improved spectral efficiency in increasingly dense environments as foreseen for short-range in-X subnetworks. In such networks, distributed power control using neural networks will leverage real-time channel state information (CSI) to optimize interference mitigation. The rise of reconfigurable intelligent surfaces (RIS) further fuels innovation, as these devices smartly manipulate the propagation environment to extend coverage, boost signal strength, and reduce energy costs. Additionally, recognizing complex phenomena like cross technology interference (CTI) is critical; modern Wi-Fi 6 networks, operating in heterogeneous spectrum environments, suffer significant throughput loss unless interference is timely detected and mitigated. Collectively, these developments are motivated by the broader goal of achieving seamless integration between diverse wireless subnetworks—each acting as a building block toward more resilient, efficient, and adaptive communication ecosystems for future applications ranging from immersive AR/VR experiences to autonomous systems.

TrialsNET

Showcase of the TrialsNet technology in several Use Cases

TrialsNet targets a series of technical, performance and productivity objectives that significatively influence the current 5G ecosystem towards 6G. The project aims at, on one side, elaborating on the potential limitations of the current network technologies (in order to derive the requirements for the next generation mobile network) and, on the other side, understanding the level of acceptance of the proposed innovative applications by the users through the involvement of new vertical sectors thus to consolidate and further deploy 5G and beyond solutions. TrialsNet aims at trialling of 6G Applications, enhancing B5G networks to support 6G applications, introducing societal benefits in different areas, thanks to 6G Apps, deploying Large-scale B5G Networks, achieving Industrial scientific and Standardization Impact, and creating an ecosystem of verticals and technology providers in the trial sites and beyond.

ENVELOPE

ENVELOPE: Towards network softwarisation and exposure for the automotive domain and beyond

The ENVELOPE project aims to advance the reference 5G advanced architecture, transforming it into a vertical-oriented system with the necessary interfaces for Connected and Automated Mobility (CAM) services that i) expose network capabilities to verticals, ii) provide vertical-information to the network; iii) allow verticals to dynamically request and modify certain network aspects in an open, transparent and semi-automated way. This is taking place in the broader context of network softwarisation and programmability, where the network exposes internal information e.g., events, monitoring, along with configuration knobs that enable the aforementioned interaction with the service layer. However, service interaction with the network can be characterized by considerable complexity in the corresponding interfaces, that could hinder the actual applicability and adoption by vertical domains. Initiatives such as GSMA Open Gateway, LF CAMARA, as well as standardization activities by 3GPP itself e.g., Service Enabler Architecture Layer for Verticals (SEAL) 3GPP TS 23.434, aim at the simplification of this interaction through appropriate abstractions. The ENVELOPE project and the planned demonstrations intend to showcase the benefits of such interactions, for the particular case of the automotive vertical, which is characterized by dynamicity as a result of mobility and varying interactions between multiple vehicles.

VTT Technical Research Centre of Finland Ltd

Critical 6G communication systems

VTT Technical Centre of Finland Ltd is one of the largest European multidisciplinary research and technology organizations. We focus on intelligent resource optimization and management of future resilient communication systems, particularly balancing sustainability, security, and performance in the critical communication system and infrastructures. Our objective is to enhance end-to-end communication system security and sustainability while maintaining service quality for critical applications. VTT’s solutions enable secure and energy-efficient connectivity for future networked needs, improving communication technologies for both public and private networks. We focus especially on employing AI-based network resource management and security automation, and end-to-end system optimization to make critical networked applications and services more efficient, usable, and sustainable. We are also working with more future-oriented technologies, such as quantum computing and quantum communications. Our work on the quantum key distribution network platform is closely related to building secure distributed telecommunication and service architecture. The VTT’s new 50-cubit quantum computer is also foreseen as a future computing platform for computation intensive problem solving in telecommunication networks.

FIDAL

Exploring FIDAL: from the project architecture to the large-scale trials. How are we leveraging on 5G capabilities

In its over two years of activities, project FIDAL has been working towards enabling open architecture and establishing large-scale testing environments. Some of the solutions tested so far span from devices and application that allow seamless streaming of large-events, video capturing and data processing for a faster emergency response, and improved mission critical communication. At the upcoming EUCNC 2025, FIDAL will present some examples of key technologies through a combination of live and offline demonstrations. These demonstrations will showcase how future Beyond 5G advancement can benefit the key verticals of FIDAL: Media and PPDR. The booth will be hosted in collaboration with ACROSS Project. The ACROSS project is developing a secure multi-domain orchestration platform capable of managing distributed edge-to-core 5G infrastructures with a high degree of automation. At EuCNC 2025, ACROSS will demonstrate key Zero-Touch capabilities of the platform. These capabilities are integrated and managed through Maestro and OpenSlice; the two pillars of the ACROSS orchestration platform. The same orchestrators are also employed by FIDAL to demonstrate their orchestration capabilities in large-scale trials of higher technology readiness level (TRL).

UK Telecoms Innovation Network (UKTIN)

UKTIN – Showcasing UK 6G Research and Innovation

UKTIN is the innovation network for the UK telecoms sector, bringing together industry, academia, and government stakeholders. UKTIN’s mission is to transform the UK telecoms innovation ecosystem, capitalising on the country’s strengths in technology, academia, and entrepreneurialism, while positioning it for growth as new opportunities emerge in the industry. In addition to promoting UK infrastructure, capabilities and research in future networks UKTIN is facilitating engagement with international government, academic and industry organisations to help align priorities and identify opportunities for collaboration. During EUCNC our aim is to inform of recent advances in UK 6G R&D, and as the UK’s association to Horizon Europe is now confirmed, to facilitate connections of interested European partners into the UK ecosystem.

6G-BRICKS

6G-BRICKS: Real-time experimentation with breakthrough 6G RAN technologies

The motivation for our exhibition is to demonstrate the 6G-BRICKS 6G experimentation facility, which supports remote, real-time tests on groundbreaking 6G technologies such as CFmMIMO and Reconfigurable Intelligent Surface (RIS) technologies. Additionally, to demonstrate the 6G-BRICKS groundbreaking Open Radio Unit (termed as Open RU) based on a USRP X410 platform, which facilitates the prototyping of 6G RAN candidate technologies and makes them available for end-to-end tests in O-RAN compliant infrastructures. The breakthrough technologies implemented in 6G-BRICKS are offered for remote experimentation via xApps, allowing third parties to perform remote, on-device experimentation for the first time. Finally, our tenant Portal is showcased, to simplify the onboarding and execution of experiments and visualize experimentation results.

6G-XR

Network-assisted 6G network enablers to increase the scalability and adaptability of multiuser XR holographic communications (6G-XR project)

Multiuser holographic communication services, including realistic and volumetric user’s representations (i.e., 3D holograms), have the potential to become the main medium for communication, social interaction and collaboration in the near future, as an essential component of the Metaverse.
However, key remaining challenges still need to be addressed to evolve from preliminary prototypes to effective ubiquitous deployments over distributed and heterogeneous environments. In this context, next generation 6G networks become fundamental technological enablers to satisfy the stringent demands of holographic communications in terms of delays, bandwidth, processing, adaptability and robustness.

PRIVATEER / iTrust6G / Robust6G

Distributed Trustworthiness and Security Analytics for 6G Systems

6G network infrastructure must support current and envisioned use cases and be able to adapt to new technologies and be resilient to new attack vectors. A 6G mobile network should be trusted to deliver these use cases across several trustworthiness aspects including security, privacy, reliability, resilience, and safety. Trustworthiness is related to the ability to mitigate the security risks in the mobile network. Even though the above mentioned five aspects are considered in the design phase of the mobile network, the trustworthiness of the mobile network system is mostly dependent on implementation and configuration. When the five dimensions of trustworthiness are applied, a common practice should be followed to ensure the robustness of the mobile network while at the same time, consistent monitoring and assessment is also required to enhance the trustworthiness.
In this exhibition booth, 3 SNS well known project whose agenda and works are related to the trustworthiness and security of 6G systems, that is PRIVATEER, iTrust6G, and Robust6G, will present their latest developments and achievements. More specifically, PRIVATEER will demonstrate a selected subset of the PRIVATEER “privacy-first” security enablers, in two scenarios as described in the description part of this proposal. iTrust6G will showcase how multiple 6G stakeholders can have their administration domain to safely collaborate to maintain their security level, and their level of trust in the two demonstrations planned for this exhibition. And finally, ROBUST6G will present its framework designed to support secure, privacy-preserving, and resilient AI training on 6G-enabled distributed environments.

Allbesmart Lda

OAIBOX: 6G open-source made simple

We will demonstrate the OAIBOX FR3 open source research platform powered by the OpenAirInterface (OAI) stack and designed for comprehensive experimentation of 6G over FR3 band. The OAIBOX FR3 enables researchers and developers to accelerate innovation in 6G, shaping future standards and regulatory frameworks. Our mission is to democratize wireless experimentation based on open source and open standards. To learn more about the OAIBOX product line go to: www.oaibox.com

6G-INTENSE

Trustworthy Zero-touch Network and Service Management in 6G Networks with XAI and LLMs (an ETSI ZSM endorsed PoC – n°12)

Zero-touch network and Service Management (ZSM) is a fundamental enabler of 6G networks, aiming to fully automate network operations without human intervention. This automation relies on Artificial Intelligence (AI) for tasks such as anomaly detection and resolution. However, AI-driven decisions can be opaque, raising concerns about trust and explainability. In critical networking scenarios, operators and users require explanations into why certain decisions are made and how corrective actions are applied. To address this challenge, we propose an innovative framework integrating AI, eXplainable AI (XAI) and Large Language Models (LLMs) into 6G network management. Our approach enhances AI-driven anomaly detection by adding interpretability, providing human-understandable explanations and actionable steps for anomaly resolution.

ORIGAMI

Demonstrating Direct Conflict Mitigation (DCM) of xApps with Near-RT RIC and Distributed Inference in the User Plane with DUNE

In O-RAN architectures, multiple xApps running on the Near-real-time radio access network (RAN) Intelligent Controller (Near-RT RIC) may simultaneously control RAN resources, leading to potential conflicts in decision-making. For example, one xApp optimizing slice-level PRB quota might conflict with another managing interference. This demonstration of direct conflict mitigation of xApps with Near-RT RIC, addresses this challenge by showcasing a framework for detecting and resolving conflicts in real-time. By enabling seamless coordination between the xApps, the first demo highlights how the operators can ensure optimal network performance, avoid conflicts in control decision, and maintain the quality-of-service. This is critical for deploying intelligent, multi-vendor xApp ecosystems in 6G networks.
For the second demo, the user-plane programmability is revolutionizing traditional network functions like telemetry, load balancing, caching, and intrusion detection by fostering innovation and improving efficiency. Notably, programmable network hardware has made it possible to deploy Machine Learning (ML) models in the user plane for in-network inference. Existing solutions have focused on tailoring ML models for single devices, such as switches or smartNICs. While effective in certain scenarios, this approach underutilizes the inherently distributed nature of modern net- works, which consist of multiple switches and middleboxes, and limits the classification accuracy achieved.

ETHER

ETHER – 6G Beyond Limits: Vertical Handovers in Integrated Terrestrial and Non-Terrestrial Networks

While 95% of world’s population has cellular network coverage, only 45% of Earth’s landmass is currently covered by such networks. This results in a connectivity loss when cellular users traverse such areas. Densifying these areas with terrestrial base stations is not a viable option due to cost and energy concerns for the operators of this type of solution. A notable recent study for the United Kingdom (UK) revealed that to provide full 5G coverage across the UK would require the installation of tens of thousands of additional terrestrial sites. However, the low penetration of users would not be able to justify such investments due to the small revenues.
Instead, the incorporation of non-terrestrial nodes, such as high-altitude platforms (HAPS) and satellites, particularly low-Earth orbit (LEO), seems the only viable option to cover such users in a cost- and energy-efficient fashion due to their large coverage. The same study revealed that only 60 HAPS would be required for the complete 5G coverage of the UK. For such an integration of terrestrial with non-terrestrial networks to enable global coverage, it is essential to have a seamless-to-the-users vertical handover process, which would be the purpose of our demonstration.

6G-PATH

6G-PATH: Implementing 6G via dedicated trials and pilots serving Use Cases through Europe

6G-PATH aims to help foster the further development/integration of new and improved tools/products from EU companies with the B5G/6G framework, while measuring relevant Key Performance Indicators (KPIs) and Key Value Items (KVIs). To achieve this ambitious target, seven testbeds are part of the project consortium, that will be used by ten use cases (UCs) spread across four fundamental verticals, including Smart Cities, Health, Education and Farming. The context will be further enriched via 2 Open Calls during the project lifecycle, aiming to implement two additional test beds and thirty extra UCs.
6G-PATH testbed owners have already identified several “key features” (i.e., both technologies and services) to be included in their infrastructures and act as “enablers” for growth. These comprise several modern technology trends such as, among others: (i) native Artificial Intelligence, AI-driven networks, able to support options for an intelligent cross-domain continuum management and 6G RAN prediction capabilities; (ii) deterministic, reliable and high-resolution localization services; (iii) Non-Terrestrial Networks; (iv) Time Sensitive Networks (TSNs) and views for time-sensitive IoT-Edge-Cloud Continuum; (v) next generation of core, backhauling and micro-networks; (vi) E2E control programmability, extreme E2E slicing and resource isolation; (vii) de-biasing of metadata and co-creation, and; (viii) energy-efficient core and management platform.

HORSE

Exploring 6G Security: Real-timeThreats and Mitigation in AR Server/Client Interactions

Security represents one of the biggest challenges in 6G mobile networks, and in today’s networks more in general.
In particular, the higher degree of softwarization and virtualization in 5G as well as expected in 6G will on one hand provide a more flexible and automated platform to address security issues and attacks mitigation, while on the other hand they potentially increase the attack surface of future mobile networks.
The SNS JU HORSE project provides a holistic vision to 6G security, by integrating real-time threat detection via machine learning, attack prediction and verification of mitigation actions via Network Digital Twins, and translation between intent and actual orchestration actions via an intent-based interface. Two Use Cases are used to identify requirements and potential attacks in future applications of 6G, including intelligent transportation systems and Augmented/Virtual Reality.
The proposed demo provides a hands-on experience about potential attacks to the server/client interaction in an AR service supported by 6G.

Rohde & Schwarz

Digital Twin for AI-RAN: Bringing ray tracing simulation into the physical world for lab-based testing

Digital twins of the RF environment get increasingly popular. The emulation of a realistic RF propagation conditions, in particular through ray tracing for realistic wireless channel simulation is intended to be used for AI/ML training and testing. The R&S demonstration showcases how widely used ray tracing simulation software results can be easily transferred to R&S SMW200A vector signal generator to bring realistic wireless channels emulation for AI/ML testing from the digital, virtual environment world to the physical world for lab-based testing.

Datacom Industry Association (DIA)

Datacom Industry Association – The Voice for the European Datacom Industry & Research Community

The DIA aims at the collaboration between datacommunication technology providers and research with vertical industries, transcending the many architectures and systems (like 6G, the Internet, industrial networks) interconnecting this digital communication fabric. The DIA aims at technological work on key networking technologies, including Layer 2 and above of the usual protocol stack of communication systems, driving the evolution, e.g., on routing, transport technologies with considerations for future support and usage of AI, addressing cybersecurity and privacy as key issues with the overall aim to strengthen Europe’s position in these technologies, ensuring the future Digital Sovereignity of Europe.

6G-Cloud

6G-Cloud: Service-oriented 6G Network Architecture for Distributed, Intelligent, and Sustainable Cloud-native Communication Systems

6G-Cloud aims to research, develop and test key technologies to achieve an AI-native and cloud-friendly 6G system architecture on top of the cloud continuum. It seeks to go far beyond the current 5G architecture design, providing the blueprint for the overall service-oriented 6G system architecture design, composed of basic network functionalities and multiple control and management frameworks over a multistakeholder cloud environment spanning from extreme edge to central clouds.
As two major results from the first year, 6G-Cloud has developed an orchestration framework and a service-based RAN architecture. The orchestration framework follows a separation-of-concern approach, allowing independent updates. It includes the Cloud Continuum Framework, the Management and Orchestration Framework and the AI/ML Framework, which uses a Digital Twin to optimize AI/ML-driven decisions. The service-based RAN architecture introduces a control fabric to enhance disaggregated RAN performance, integrating with the SBA of the 5G Core and extreme edge to support services with specific QoS requirements. A message bus enables efficient communication between network functions. The architecture is adaptable for future 6G applications. With that in mind, the consortium proposes to showcase and demonstrate the results 6G-Cloud has achieved so far promoting discussion.

Software Radio Systems

Software Radio Systems

SRS develops high-performance, software-defined 5G RAN solutions for private, enterprise, and non-terrestrial networks. As demand grows for cost-effective, flexible RAN, our software-based approach enables customized, scalable 5G deployments. With its open architecture and modular design, srsRAN is widely used in cutting-edge research projects, providing a powerful platform for implementing, testing, and deploying innovative technologies.
At EuCNC, we will showcase srsRAN Enterprise 5G, a CU/DU solution for x86, ARM, and AMD architectures, supporting bare-metal and cloud-native environments, vRAN, Open RAN, and small cells. Its modular design allows CU/DU separation and third-party O-RAN integration.
We will also highlight srsRAN NTN 5G, a modular RAN for satellite-based 5G, supporting LEO, MEO, and GEO deployments with 3GPP Rel. 17 NR-NTN compliance. It enables transparent and regenerative payloads, high-accuracy SIB19 updating, and optimized on-board integration.
With a strong open-source foundation and a proven track record in both R&D and commercial deployments, srsRAN provides an adaptable platform for research projects, consortia, and industry partners to develop and deploy next-generation telecommunications solutions.

MathWorks

Accelerate 6G Research with MATLAB

As we transition beyond 5G, the industry is exploring new waveforms, network architectures, and the integration of technologies like AI, radar, and satellites to shape the next generation of mobile communication. These advancements promise to deliver new capabilities, enabling ubiquitous and reliable global connectivity. MATLAB provides a robust platform to accelerate 6G research through efficient modeling, simulation, and prototyping. It allows researchers and engineers to rapidly develop, test, and validate new concepts, enabling quick iterations and faster progress—essential for keeping pace with the rapidly evolving 6G landscape.

5GSmartFact

5GSmartFact – Towards a Future Wireless Connected and Automated Industry

5GSmartFact aims to define a set of holistic and transversal research challenges that represent the radical paradigm push required in 5G and beyond evolutions to support the future i4.0. Availability, latency and reliability are complex concepts that embrace many aspects of a wireless communication system. Without being exhaustive, latency is influenced by the over-the-air transmit delay, queuing delay, processing time, accessibility of data close to where it is needed, and can be defined end-to-end, at the control plane or the data plane. Reliability is affected by the availability of resources, collisions, interference, uncertainty in the channel state, coverage, coding, packet drops, etc. Taken all aspects into consideration, 5GSmartFact addresses the following transversal network-wide objectives:
-The introduction of transmission technologies that adopt heterogeneous access (considering both optical and radio channels).
-The design of new architectural concepts.
-The adoption of methodological approaches for the overall analysis, design and optimization of networks.
-The development and test of new industrial applications, with an important focus on positioning/location enhancements to meet the requirements of cooperative or autonomous robotics.
-The evaluation in real conditions and actual deployments provided by industrial partners.

5GSMARTFACT is an Industrial Doctorate Training Network where 14 PhD fellows collaborate and work in complementary projects to reach these objectives.

SUSTAIN-6G

6G for environment protection (e.g., fires), sustainable resource use, and water, energy and crop optimisation

The world faces an urgent sustainability crisis, driven by climate change, biodiversity loss, resource depletion, and socio-economic inequalities. The demand for food, energy, and connectivity is increasing, yet current systems are highly inefficient, environmentally unsustainable, and economically fragile. The United Nations Sustainable Development Goals (SDGs) emphasise the need for transformative solutions that reduce emissions, minimise waste, and optimise resource utilisation without compromising economic growth or societal well-being.
6G is a key enabler of this transformation, offering a sustainable-by-design approach that ensures connectivity, intelligence, and efficiency. Unlike previous generations, 6G aims to minimise its environmental footprint while maximising its socio-economic handprint. The SUSTAIN-6G project leads this vision by embedding sustainability into both 6G infrastructure enablers and its vertical applications, ensuring that network deployment and operation actively support environmental goals, and thereby leveraging a holistic perspective on sustainability within 6G ecosystems – end-to-end and considering the full lifecycle of assets.
A prime example of this transformation is agriculture, where unsustainable practices contribute to water waste, soil degradation, and excessive energy use. Precision farming has the potential to increase efficiency, but rural connectivity gaps, high computing costs, and unstructured data hinder widespread adoption.

IMAGINE-B5G

IMAGINE-B5G: Advanced 5G Open Platform for Large Scale Trials and Pilots across Europe

IMAGINE-B5G is a Stream D SNS Phase-1 Project working towards implementing an advanced, accessible, secure, and programmable end-to-end 5G platform for large-scale trials and pilots in Europe.
IMAGINE-B5G is focusing its efforts on fuelling testing and experimentation of core technologies and architectures, facilitating innovative services and businesses, and becoming a key enabler for future B5G vertical services and applications.
During its first and second years, the project shortlisted seven verticals – PPDR, Media, Education, Smart Agriculture and Forestry, eHealth, Transportation and Logistics and Industry 4.0 – having designed use cases that could be tested and experimented in its four facilities – Norway, Spain, Portugal and France.
Through its first and second Open Call, the consortium selected and funded 30 projects to implement vertical and platform extensions on its use cases alongside the facilities.
The work that the project and its open-call winners have already developed is believed to be of great interest within the field of 5G and Beyond 5G research. With that in mind, the consortium proposes to showcase and demonstrate some of the results IMAGINE-B5G has achieved so far, enabling the discussion.

CENTRIC

AI-Based CSI Feeback Enhancements

There is a broad consensus that artificial intelligence (AI) and machine learning (ML) will be fundamental technologies driving the advances of 6G. Within this context, the CENTRIC project’s aim is to research and disseminate the key advances in algorithmic and hardware design required to enable an AI-driven air interface (AI-AI) for 6G. The fundamental vision of CENTRIC consists of 6G networks in which the air interface (physical layer and the supporting protocol stack) are devised and optimized in an automated manner for each use-case, application, or user-specific conditions using the power of cutting-edge AI and ML methods.
To make this vision a reality, CENTRIC has proposed techniques encompassing AI-based transceiver designs, AI-emerged protocol stacks and AI-based radio-resource management algorithms. In addition, the project studies hardware and software enablers, such as novel computational paradigms or the role of digital twins in supporting the AI-AI techniques. Last, but not least, methods for validation and benchmarking of the studied AI-AI techniques are as well in CENTRIC’s scope.

USWA, Celtic-Next

Project USWA: Future of IoT Connectivity

The DECT-2020 NR+ (or shortly NR+)introduced by ETSI provides new opportunities for connecting in local self-deployed networks in different industry areas. The Celtic USWA project has researched different areas of how NR+ can be used in different use cases and different industry domains. The research has focused on use cases such as electricity quality measurements, smart meters, smart factories and buildings, as well as using Mesh networking for increasing communication reliability. Further research in the USWA project has resulted in several improvements to the NR+ Release 2 standard.

UNITY-6G / 6G-MUSICAL / ESFRI SLICES

Wi-Fi your way: customized solutions with openwifi

For indoor connectivity, Wi-Fi technology is indispensable and it is assumed that future 6G networks can take advantage of advanced Wi-Fi technology. End 2019, the IDLab research group of imec and Ghent University released openwifi as the final outcome of the H2020 project ORCA. Today, openwifi has matured and is used to conduct research in the realm of 6G.
To serve emerging critical applications that demand predictable performance, such as bounded low latency, low jitter and ultra-high reliability, the openwifi design has been extended with time-sensitive networking (TSN) enablers such as time synchronization, time-triggered scheduling, real-time telemetry, etc. bringing Ethernet TSN concepts to the wireless domain. Today, the design is being used in UNITY-6G to explore the convergence of Wi-Fi and TSN with 3GPP and O-RAN technology in the context of non-public networks for industrial automation. Next to this, in 6G-MUSICAL, the open design is being leveraged to perform accurate sensing and explore joint communication and sensing techniques. Both capabilities, namely wireless time-sensitive networking and advanced sensing will be demonstrated.

SUNRISE-6G

SUNRISE-6G: Intent-driven experimentation over a federation of 6G testbeds

SUNRISE-6G brings together 14 testbeds across 8 EU member states to create a federated facility where researchers can perform end-to-end tests of 6G technologies and emerging applications. SUNRISE-6G aims to deliver a sustainable and evolvable Experimentation facility for 6G, federating 6G experimentation platforms and enablers from all over Europe under a common test, validation and vertical application deployment infrastructure. Our approach is inspired by the “Network of Networks” 6G vision, which promotes the integration of all private and public infrastructures. To ensure evolvability, SUNRISE-6G facility will pursue a comprehensive, standards-compliant solution to federation and experimentation, a unique NLP-driven Experimentation Plane to automate and simplify experimentation workflows, and multiple 6G breakthrough technologies exposed to the SNS community as a “6G Library”.

iSEE-6G

Integrated Sensing, Energy and Communication for 6G Networks

The rapid evolution of 5G and upcoming 6G networks demands intelligent, scalable, and application-aware network solutions to support complex verticals like transportation and logistics. The Enricher addresses this need by integrating advanced Edge AI/ML models (e.g., LSTM, TFT) with real-time ISAC and API-driven network slicing, enabling context-aware, low-latency decision-making at the edge. This demo showcases how the Enricher bridges the gap between theoretical frameworks and deployable, standards-aligned solutions—paving the way for smarter, safer, and more efficient next-generation connectivity.
Moreover, iSEE-6G will demonstrate an ISAC-prototype operating in a simulation engine, as well as present its prototype software defined radio mmWave transceiver (equipped with steerable antennas with full azimuth support) that will be used for ISAC channel measurements and Proof-of-Concept operation.

SAFE-6G

A user-centric 6G system with self-configuration cognitive capabilities driven by the user’s intent and the assessed trustworthiness level

The evolution towards 6G fosters an open, distributed user-centric architecture in which more actors will coexist. While its capabilities will be greatly enhanced with respect to 5G systems, several attack surfaces will emerge. Thus, stakeholders will not just demand for the system to be secure, but to be trustworthy so they can feel trust to build novel use cases around it.
Trustworthiness refers to a holistic approach, including safety, security, privacy, resilience and reliability as its dimensions. While ideally all of them should be maximized, the applied measures would come with a cost, which could be in terms of extended hardware/economic resources, performance reductions, user constraints, etc. As part of its user-centric vision, 6G must then allow users to express their intents, so that these are considered to adapt the “level of trustworthiness” of a 6G-based system to the actual needs of the users.
Therefore, new and adapted components, system and user interfaces, definitions, datasets, (explainable) AI models and frameworks are required for building trustworthiness in 6G, being an essential property towards a successful realization and adoption of the upcoming user-centric evolution of cellular networks.

6G-SANDBOX

6G-SANDBOX experimentation results

6G-SANDBOX is a stream C call 1 project that will finish by the end of the calendar year 2025. The project has been running 4 experimental facilities (Athens, Berlin, Malaga, Oulu) covering many different technologies and vendors and has engaged more than 40 experiments (Direct engagements and via open calls) paving the way towards understanding technology evolutions for 6G systems. Many experimentations were also fueled by companies and research centers from outside of the project, where additional technologies were added to the testbed. The experiments done in the frame of 6G-SANDBOX covers technologies such as Trial Network to run experiments, JCAS based on FR1 systems, RS and RIS deployed in live network and in Digital twin, automatic network benchmarking to just name a few.
Out of this work, the consortium has selected a few results that will be demonstrated at the EUCNC conference. Intention is to expose some of the nicest activities from the project to the general audience.

CONVERGE

XR visualisation of invisible radio signals

The growing convergence of XR technologies, robotics, and advanced wireless communication is paving the way for transformative human-machine interactions and immersive experiences. This demonstration explores how extended reality (XR) can bridge physical and digital worlds in real-time, particularly in remote-controlled robotic applications. Leveraging real-time digital twins and XR visualizations, this use case highlights how invisible radio phenomena (e.g., 5G/6G signal propagation) can be made visible and interactive. As 6G research progresses, visualizing network performance, key performance indicators (KPIs), and key value indicators (KVIs) in XR environments offers significant potential for developing and testing intelligent, adaptive networks. The demo is the result of a collaborative effort between Finland’s 6G Flagship and the EU-funded Converge and 6G-Sandbox projects—united by the goal of transforming how we interact with networked environments and experiment with cutting-edge infrastructure. By integrating immersive interfaces with real-time connectivity and robotic manipulation, this demo showcases a compelling pathway toward next-generation industrial and research applications.

NANCY

O-RAN-Based 5G Testbed for Inter-Operator Communication

The open radio access network (O-RAN) is an industrial standard for RANs that specifies the interconnections and interfaces among various components towards increasing network flexibility and enhancing interoperability between equipment. Additionally, O-RAN facilitates the integration of network intelligence and programmability, by leveraging artificial intelligence (AI) and network softwarization approaches, enabling autonomous RAN orchestration. O-RAN is a critical component of Beyond-5th and 6th generation (B5G/6G) mobile networks as it is the main interface between the user equipment (UE) and the mobile network. Consequently, it is a primary target for adversaries seeking to disrupt communications or compromise data integrity. The utilization of AI techniques is a promising asset in detecting and addressing the impacts of potential cyberattacks against critical infrastructure, such as a telecommunications network. As a result, the combination of AI and the network status data obtained through O-RAN can lead to the development of novel countermeasures against cyberattacks.
The proposed demonstration is an outcome of the joint research and development activities of the University of Western Macedonia, MetaMind Innovations, and Sidroco Holdings in the context of the NANCY project.

ADROIT6G

Enhanced Federated Learning Schemes in Non-Terrestrial Network Applications through ADROIT6G

The data surge from technological advances has boosted the use machine learning in AI-driven zero-touch management of End-to-End network slices. One target is ensuring dynamic support across Terrestrial and Non-Terrestrial networks under strict Service-Level-Agreements (SLAs). ETSI’s Zero-touch Network and Service Management framework provides a standardized reference architecture to address these challenges, however, centralized approaches for model training raise privacy concerns and computational challenges with large datasets. Decentralized federated learning addresses this by enabling collaborative training, where distributed models are trained using local data, preserving privacy by exchanging only model updates either directly with other devices or via aggregators.
Existing Federated Learning (FL) algorithms struggle with static learning rates and lack of adaptability to different client conditions. To overcome these challenges, there is a need for a more flexible FL framework that adapts its learning strategy based on SLA metrics, ensuring more efficient, compliant, and responsive network management.
At the same time, streamlining the development, training, and testing of models in federated learning is essential to supporting the increase the use of AI in modern networks. Effective orchestration enables faster development, deployment scalability, and model lifecycle management across dynamic network architectures including far-edge resources, like mobile devices.

NATWORK

NATWORK – Net-Zero self-adaptive activation of distributed self-resilient augmented services

The architecture of the 6G network will exhibit a highly dynamic and heterogeneous nature, thus ensuring continuous security is considered a major challenge with unexplored pathways. When working with such a system, we could use the analogy of another complex structure – human body, wherein the immune system and the timely adaptation of muscles in response to external threats exemplify critical biological defense mechanisms. These mechanisms could potentially serve as a guiding paradigm, inspiring innovative defense strategies and mitigation tactics within the realm of 6G networking. By employing machine learning and AI, we can facilitate real-time security analysis and adaptation, analogous to the brain of a living organism. This process involves learning from previous security incidents, forecasting potential future threats, and adjusting security protocols to accommodate shifting circumstances. The system progressively develops the capacity to identify/respond to threats effectively, much like a living organism’s brain.
The 6G network will be used as a ubiquitous sensor, blurring the line between the physical and digital worlds. As such, a breach in the security of the 6G network could lead to a loss of information, loss of control over connected devices, loss of money and property, or even physical danger to people.

INSTINCT

INSTINCT – Joint Sensing and Communications for Future Interactive, Immersive, and Intelligent Connectivity Beyond Communications

Four demonstration platforms focused on joint communication and sensing (JCAS) will be shown.
//Demo1 (Barkhausen Institut, Germany): This demonstration shows management approaches of self-interference, a limiting factor of monostatic JCAS systems.
//Demo2 (INRIA/INSAL, France): The SLICES/CorteXlab testbed with 180m? EM shielded room and 40 high-end SDR-capable radio nodes, provides a unique setup to experiment on new radio techniques. The platform, located in Lyon, France, can be accessed/used remotely across the world. A software tool for JCAS performance evaluation, based on stochastic geometry will be presented.
//Demo3 (I2CAT, Spain): The increasing number of connected devices and the need for accurate and reliable positioning with signal coverage demand new localization methods. The fusion of 5G and GNSS has emerged as a promising solution to enhance positioning accuracy, reliability, and robustness by leveraging the strengths of both: GNSS for global coverage and satellite-based precision, and 5G-NR for high-resolution positioning in dense environments.
//Demo4 (Greenerwave, France): This demonstration underscores the transformative potential of reconfigurable intelligent surface (RIS) in next-generation wireless networks. By enabling adaptive, low-latency beam tracking, the proposed system enhances connectivity reliability, paving the way for high-performance 5G and 6G applications, including autonomous vehicles, smart cities, and industrial IoT.

FOR-FREIGHT

FOR-FREIGHT: Unlocking the Power of Intelligent, Seamless, and Sustainable Multimodal Logistics

The FOR-FREIGHT project aims to revolutionize multimodal logistics by optimizing transport efficiency, sustainability, and cost-effectiveness. As global supply chains grow increasingly complex, there is a critical need for smarter, more integrated logistics solutions. FOR-FREIGHT addresses this by developing an advanced platform that leverages cutting-edge technologies like AI/ML, IoT, and Big Data Management to streamline operations across transportation hubs such as airports, ports, and inland terminals. The platform integrates both new technologies and legacy systems, ensuring compatibility and fostering seamless connectivity across diverse logistics networks.
The platform’s ability to optimize multimodal transportation—considering factors like cost, time, and environmental impact—enables more efficient management of goods and freight flows. By incorporating real-time decision-making, dynamic route optimization, and advanced predictive analytics, FOR-FREIGHT empowers logistics operators to make informed, data-driven decisions. This innovation not only enhances operational efficiency but also promotes sustainability, reducing carbon emissions and resource consumption. With real-world validation through various use cases, including Spain, Greece, and Romania, FOR-FREIGHT sets the stage for a new era in logistics, driving transformative change in supply chain management and positioning the platform at the forefront of the digital logistics revolution.

SimpleRAN

SimpleRAN: SimpleRoam – Implementing Seamless Roaming for Non-3GPP (WiFi) Access in a Decentralized 5G Core Using free5GC and SimpleSpace – showcasing two scenarios of AI for RAN using NWDAF

SimpleRAN is an industrial innovation collaborative project supported by the national French strategy on 5G and future networks. The project is coordinated by the French SME AMARISOFT. SimpleRoam is also industrial collaboration with RapidSpace SME. The goal of the SimpleRAN initiative is to publish a series of standards that ensure interoperability and transparency in the vRAN ecosystem. SimpleRAN promotes a practical approach aiming to accelerate commercial deployments while remaining compatible with legacy infrastructure.
In this demo, we would like to showcase two aspects of SimpleRAN project that are related to SimpleRoam and SimpleSpace.
The objective of SimpleRoam is to enable flexible connectivity between any CPU and any Remote Radio Head (RRH) for radio access. A key advantage of SimpleRoam is its distributed core network, which supports essential 5G requirements such as: Low latency (by placing network functions closer to users) Higher reliability (via local data processing and reduced single points of failure). However, decentralized core networks introduce challenges, including management complexity, orchestration difficulties, and seamless handover. Our work focuses on achieving seamless roaming in such a decentralized environment.
SimpleSpace will showcase two scenarios of AI for RAN using NWDAF and Free5GC modules with AI based energy efficient SimpleRAN network and SimpleRAN for AI using an AI application example namely Watermarking for content detection deployed using telco cloud approach close to the edge nodes.

MERCI

EXPERIENCE EUROPEAN NON-CELLULAR PRIVATE 5G with the MERCI PROJECT

In the rapidly evolving landscape of wireless communication, the ETSI standardized DECT NR+ technology emerges as a paramount innovation. It marks its significance as a non-cellular European 5G technology, tailored to the 5G vertical needs, particularly in the ultra-reliable and low-latency communications (URLLC) and massive machine-type communications (mMTC) space.
DECT NR+ offers a unique blend of high capacity, low latency and robust security, making it an ideal solution for a wide range of applications and use cases. It is particularly well suited for non-public/private 5G & Beyond networks and nomadic use cases, such as those found in professional media production and industrial sites. Here, DECT NR+ provides seamless connectivity without the need for a continuous cellular signal, ensuring a reliable and consistent user experience.
As sustainability gains prominence in wireless research and the IoT ecosystem drives an explosion of connected devices, traditional cellular topologies face increasing challenges. Connecting the vast number of devices envisioned for 6G networks directly to cellular base stations is often not feasible due to energy and scalability constraints. In this landscape, DECT NR+ emerges as a 6G-ready technology with an integrated mesh network architecture, enabling large-scale local networking by relaying data between devices and supporting direct device-to-device connectivity. This feature is particularly beneficial in environments where traditional cellular connectivity might be challenging, such as distributed and expanded IoT-Networks.
Security is another crucial aspect of DECT NR+. The technology incorporates advanced security measures to protect data transmission from potential threats, ensuring the privacy and integrity of the communication.

Ranplan Wireless Network Design Ltd

AI-powered optimization and deployment of Reconfigurable Intelligent Surfaces for outdoor and indoor wireless network

The mmWave band of 5G/6G holds immense potential for advancing wireless connectivity. However, its deployment and optimization face formidable challenges due to significant path loss issues in real-world settings, presenting a substantial hurdle to our connected future.
To address these challenges, Reconfigurable Intelligent Surfaces (RIS) have been developed as a promising solution. These surfaces comprise of numerous tiny elements such as antennas or passive reflecting units, that can dynamically manipulate electromagnetic waves to extend the coverage and enhance the capacity. Despite their potential, RIS devices have not been widely adopted in practical applications. The lack of support for RIS modelling and related KPIs simulation in the current market hampers their widespread adoption and exploration of their full potential.
Fortunately, the Ranplan Professional software has been recently equipped with the new advanced functionality to model RIS devices with self-configuration capabilities, enabling the adaption to various types of RIS devices. Additionally, the software includes KPIs simulation functions, providing valuable insights to aid in RIS deployment decisions.
By leveraging the capabilities of Ranplan Professional, stakeholders can accurately assess the performance of RIS deployments and unlock the transformative potential of this innovative technology in advancing wireless connectivity.

Rimedo Labs Poland

Hierarchical rApp-xApp tandem for Energy Saving Cell On Off Switching

Rimedo Labs and T-Labs (Telekom Innovation Laboratories) jointly demonstrate a hierarchical rApp-xApp tandem operation for cell on-off energy saving use case. The key aspect of the demo is the multi-scale network optimization with the interactions between apps and RICs in a large scale network using real mobile network data (site locations and traffic load).

Martel Innovate

Martel Innovate B.V

Global challenges such as climate change, rising energy demands, and resource scarcity require innovative solutions that merge advanced technologies with forward-thinking strategies. In this context, the development and demonstration of cutting-edge AI systems play a pivotal role. By analyzing vast amounts of complex data in real time, AI-driven technologies can significantly enhance decision-making processes, streamline resource management, and expedite research breakthroughs. They help identify patterns, optimize operations, and forecast outcomes with greater accuracy than conventional methods, ultimately reducing costs and environmental impact.
This demonstration underscores how AI can bridge the gap between theoretical advancements and tangible applications across various industries. Whether in energy optimization, predictive maintenance, or environmental monitoring, AI’s data-driven insights empower professionals to make informed, timely decisions that maximize efficiency. Furthermore, showcasing how these solutions integrate with existing infrastructures emphasizes their accessibility and scalability, paving the way for widespread adoption. By highlighting the potential of these AI tools, this demonstration aims to inspire broader collaboration, encouraging stakeholders to explore novel ways of integrating intelligent systems into their respective domains.

EANTC AG Germany

Automated test suite for O-RAN solutions

Open Radio Access Network (O-RAN) technology enables disaggregated base stations using components from different manufacturers in an open system with standardized interfaces and protocols. It promises reduced market entry barriers for new vendors and more supplier choices for network operators.
O-RAN, however, brings complex new data, control, management, and synchronization interfaces: OpenFronthaul, F1, and O1. IP-based RAN domain and cloud-based RAN impose additional complexity. All these interfaces require extensive multi-dimensional evaluations. They cannot be fulfilled by manufacturers alone due to the multi-vendor ecosystem, and because new component manufacturers do not have as advanced test beds as established global radio system vendors.
Automated integration testing at the unit, module, and end-to-end integration level is the key to reducing the testing efforts and managing the validation complexity. It should be integrated with a CI/CD pipeline at manufacturer, operator, and external labs sites.
In this pipeline, independent test labs such as EANTC should cover the following scenarios:

• Protocol conformance testing aligned with 3GPP and O-RAN Alliance specifications
• End-to-end testing (E2E) to ensure interoperability between radio network components
• Cloud RAN Platform integration testing aligned with ETSI and O-RAN Alliance standards
• Vertical-specific industry application and consumer applications testing to verify the user experience

AiVader GmbH

From Words to Workflows: Intent-Based Orchestration for 5G/6G with AiVader SMO

5G/6G networks are increasingly complex, spanning RAN, Core, and cloud-native infrastructure. Manual operations and rigid UIs in current SMO systems limit agility—offering only static monitoring views and error-prone orchestration processes.
Intent-Based Networking (IBN), enhanced with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), enables a transformative leap. Operators can issue intuitive intents for infrastructure management, policy enforcement or service assurance, while the system ensures accurate, context-grounded execution—RAG mitigating LLM hallucinations by grounding responses in real-time network data.
This approach unlocks flexible Monitoring, where users can query a wide range of parameters beyond pre-configured dashboards, even compute custom KPIs using formulas or domain knowledge. In Orchestration, complex tasks—like deploying a new UPF and synchronising BS slice mappings—are resolved end-to-end. For Optimization, xApps/rApps are triggered for energy and performance goals.
This demonstration reflects an SME-led innovation toward intelligent, explainable, and sovereign 5G/6G management.

Technical University of Munich/Germany

Survivable Demand Routing for Multi-Domain Networks (SDR-MDNet)

Multi-domain networks consist of several interconnected single-domain networks which have their own control and management policies. Each domain has two types of nodes: 1) “internal” nodes which are connected with intra-domain links and can view only local network information, and 2) “border” nodes which can view both local and global network information and connect the different domains with inter-domain links.
Due to scalability and confidentiality issues, domain privacy, i.e., the non-disclosure of domain-specific information such as the detailed topology, the available resources, etc., is of high significance. Limited intra-domain information arises challenges in providing end-to-end services in multi-domain networks, especially when the operators’ goal is to provide survivable routing by finding disjoint path pairs for every demand in the network.

University College Dublin, Ireland

DisLLM: Distributed LLMs for Privacy Assurance in Resource-Constrained Environments

Large Language Models (LLMs) have become fundamental to AI-driven natural language processing (NLP) applications. However, their deployment in resource-constrained environments and privacy-sensitive domains poses significant challenges. Traditional LLM fine-tuning relies on centralized cloud-based solutions, requiring substantial computational resources while risking privacy breaches by exposing sensitive data to third-party service providers. In critical applications such as healthcare, finance, and personalized AI assistants, maintaining data privacy and efficiency is paramount.
To address these challenges, we introduce DisLLM, a distributed learning framework that ensures privacy-preserving and computationally efficient LLM deployment. DisLLM combines the benefits of Split Learning (SL) and Federated Learning (FL) through Splitfed Learning (SFL), enabling distributed fine-tuning without exposing raw user data. It divides the LLM architecture into client-side and server-side components, ensuring that sensitive data remains on local devices while leveraging server resources for computationally intensive tasks. Additionally, Differential Privacy (DP) introduced in the platform adds controlled noise to further enhance data privacy.
This demo will showcase DisLLM’s capabilities in privacy-preserving LLM fine-tuning, demonstrating its effectiveness in real-world applications. By ensuring data confidentiality and efficient resource utilization, DisLLM provides a scalable solution for secure, decentralized AI model adaptation, making LLM technology accessible and trustworthy in privacy-sensitive and resource-limited environments.

University College Dublin, Ireland

ARMOR: Adversarial Resistance and Model Optimization for Robustness for 6G Open Radio Access Networks

AI-based automation will be a crucial component in 6G networks, enabling efficient decision-making in Open RAN (O-RAN) architectures dominant in these future networks. As they rely on AI-driven techniques for network optimization, resource allocation, and security enforcement, ensuring their robustness against adversarial threats is critical. Adversarial attacks, such as evasion, inference, model inversion, and poisoning, can compromise network performance, data integrity, and privacy, leading to unreliable and vulnerable AI-based automation.
The ARMOR project addresses these challenges by developing an adversarial testing framework for evaluating AI security in 6G O-RAN environments. It systematically simulates, analyzes, and mitigates adversarial attacks, integrating explainable AI (XAI) and privacy metrics to enhance AI robustness. LLM-based reporting further improves the interpretability of attack evaluations, providing actionable insights.
This demo will showcase ARMOR’s capabilities in AI model threat assessment and its applicability in network architectures like O-RAN-based extended AI applications, demonstrating its impact on AI-powered network intrusion detection and resource allocation models. The results will contribute to more resilient AI-driven telecommunications infrastructures, ensuring secure and reliable automation in future 6G networks.

University of the Bundeswehr Munich, Germany

Resilient Passive Optical Network Planning Tool

With a surge in availability and bandwidth requirements due to new use cases (e.g. Industry 5.0, e-Health, 6G) and new applications (e.g., VR), Optical Access Network (OAN) faces challenges to reduce high costs and have high-impact failure management. ’Resilience’ deals with the ability of a network to maintain connectivity in the event of node and/or link failures. A Passive Optical Network (PON) constitutes a tree topology, consisting of an Optical Line Terminal (OLT), placed at the Central Office (CO) location, connected to a passive optical splitter placed at a Remote Node (RN) by the Feeder Fiber (FF). The RN is then connected to several Optical Network Units (ONUs) locations (residential, commercial,
etc.) via Distribution Fiber (DF). Despite high investments, these tree topologies, referred to as Balanced PON (BaPON), are still unprotected. Single-link failures e.g., in FF, can cause
a large number of ONUs to lose connection, which can be prevented with protection, e.g., having a backup disjoint FF. This resilient requirement raises the need to compare several
protection schemes in different areas and to evaluate the trade-off between the investment required and the achieved reliability.

Centre Tecnologic de Telecomunicacions de Catalunya (CTTC)/Spain

Neural Constellation Shaping for Coded Over-the-Air Communication and Computation

Non-Orthogonal Multiple Access (NOMA) is a wireless communication technique that allows multiple devices to communicate simultaneously in the same frequency resources, thereby allowing for a highly efficient spectrum utilization.
Superimposing signals in the power domain requires advanced interference cancellation algorithms to recover the desired message. Traditional NOMA systems that use standard constellations (QAM, PAM, PSK) for modulation rely on transmit power disparities to distinguish different user signals. This approach under-utilizes the signal space and results in suboptimal performance.
End-to-end (E2E) deep learning techniques such as autoencoder-type architectures have shown to be a practical tool for intelligent design of signal mappers and demappers. E2E techniques shine especially in situations in which mathematical models or optimization problems become intractable, or where optimal modulation and coding schemes are unknown. Besides, some E2E techniques allow for seamless integration into hybrid model/data-driven architectures
They allow to jointly optimize modulation and coding or to perform data-driven constellation shaping so as to utilize the signal space, which reflects in performance gains such as increased throughput and spectrum utilization, or decreased bit/block error rates.
Given the renewed interest in (coded) over-the-air computation in the context of new emerging applications such as wireless federated learning or distributed sensing, our ambition is to demonstrate how the (under-studied) coded communication/computation paradigm could be leveraged in complex 6G network tasks, beyond plain message transmission.
Earlier versions of similar prototypes have been shown at Mobile World Congress editions (2022-2025), EuCNC 2022 and ICMLCN 2024. However, the demo to be presented at EuCNC 2025 relies on an entirely new codebase (Matlab) as compared to these earlier versions (which relied on GNU Radio and Python scripts).

Smart Wireless Future Technologies (SWIFT) Lab, The American College of Greece

5G-NR ISAC Demo from SWIFT Lab, The American College of Greece

The integration of sensing and communication (ISAC) has been identified by the ITU-R as one of the six key application scenarios for 6G and has garnered significant attention from both industry and academia. While substantial theoretical progress has been made in areas such as system architecture, waveform design, information fusion, and security analysis, practical hardware implementations remain scarce. Existing prototypes are mostly built on high-frequency bands, such as 28 GHz, millimeter-wave or even terahertz, which are not readily compatible with current 5G infrastructure. To address this gap and facilitate seamless integration of ISAC into existing telecom systems, particularly on sub-6 GHz and based on 5G-NR standard, we will present a practical demonstration of sub-6 GHz 5G-NR ISAC in an indoor environment at our booth.

Poznan University of Technology / Poland

Shifting Targets, Stronger Security: Dynamic IP Protection with MTD Techniques

Reconnaissance is a fundamental stage in nearly every cyberattack scenario, where attackers gather specific information about their target to optimize their tactics and improve their chances of success. It underpins various types of attacks, especially more advanced ones:
1. Targeted attacks – which are meticulously planned and directed at a specific organization or individual.
2. Advanced attacks – characterized by prolonged presence in the victim’s environment while simultaneously avoiding detection.
3. Infrastructure attacks – focusing on an organization’s network components and services, such as servers, network devices, or communication protocols.
4. Supply chain attacks – where the goal is to infiltrate an organization by targeting its suppliers, partners, or software/hardware manufacturers. If a company uses products or services infected during production or distribution, malicious software may find its way into its network.
Stopping a cyberattack at the reconnaissance stage is highly beneficial because the attacker has not yet penetrated the environment or caused harm. Early intervention minimizes risk, reduces defense costs, safeguards reputation, enables proactive threat detection, and deters attackers. In the face of robust security measures, they may abandon their efforts or move on to easier targets, sparing organizations from extended threats and potentially severe consequences.

Univeristy of Surrey, United Kingdom

NL-COMM: Non-Linear Processing for Future High-Performing Wireless Networks

With video streaming now accounting for the majority of internet traffic, wireless networks face increasing demands, especially in densely populated areas where limited spectral resources are shared among many devices. While multi-user (MU)-MIMO technology aims to improve spectral efficiency by enabling concurrent transmissions over the same frequency and time resources, traditional linear processing methods fall short of fully utilizing available channel capacity. These methods require a substantial number of antennas and RF chains, to support a much smaller number of MIMO streams, leading to increased power consumption and operational costs, even when the supported streams are of low rate.
In this demo we present NL-COMM, an advanced non-linear MIMO processing framework, validated using commercial off-the-shelf (COTS) UEs within a fully Open RAN and 3GPP-compliant system. Leveraging the openness and flexibility of the Open RAN paradigm, NL-COMM showcases how non-linear processing can unlock substantial performance gains previously unreachable by conventional methods. For the first time, attendees will observe and compare live video transmission from four concurrently transmitting UEs, switching between current state-of-the-art linear detection algorithms and NL-COMM. Key improvements include over 200% gain in spectral efficiency, a 50% reduction in required antennas without quality loss, and reliable decoding of four simultaneous video streams using just one base-station antenna.

Korea University / South Korea

FlexRM: Flexible Resource Management for AI-and-RAN

AI-RAN environments demand efficient resource management to orchestrate distributed, virtualized instances. Kubernetes (k8s) has emerged as a key orchestration tool, offering automation, scalability, and container-based management. While open-source projects like Openairinterface (OAI) and srsRAN have integrated k8s, these implementations often lack advanced capabilities for RAN-specific needs. Vanilla k8s fails to address RAN function resource patterns, traffic-based performance requirements, and central units (CU) / distributed units (DU) interdependencies. This leads to inefficient resource allocation, where RAN workloads either receive excessive resources or cannot secure necessary resources promptly, causing performance degradation. To address these challenges, specialized solutions are needed to monitor resource usage of RAN function pod continually and perform dynamic resource allocation and scaling. These RAN-specific k8s extensions can respond immediately to changing requirements due to traffic fluctuations and efficiently redistribute idle resources to other applications like AI workloads, optimizing overall system utilization.

Sharif University of Technology/Iran

Automated Network Diagnosis

The operation of high-level networks, in particular 5G-compliant ones, is a grave challenge due to their complexity and dynamic nature. Unlike traditional networks, 5G networks consist of a very large number of interdependent elements like small cells, various radio access technologies, and edge computing capabilities. This complexity renders the monitoring and diagnosis of network faults an arduous task since interdependencies among elements tend to obscure the underlying causes of faults. Traditional network monitoring relies on manual log analysis by specialists, resulting in laborious, non-scalable procedures with a high potential for human error. In addition, the enormous amounts of data that are generated by 5G networks—usually millions of logs on a daily basis—mean that it is not easy for a person to simply notice problems or trace faults.
Recent advances in artificial intelligence, especially Large Language Models (LLMs), provide an exciting remedy to these problems. LLMs are capable of handling enormous amounts of log data, detecting uncommon patterns, and even suggesting possible solutions on their own. By incorporating these models into network monitoring software, fault detection can be made faster and more accurate. This reduces the necessity for humans to intervene, enabling network teams to respond quicker and more effectively. This renders contemporary telecommunication networks more dependable and enhances their functionality.

River Publishers

River Publishers (www.riverpublishers.com) Flexible, Attentive & Focused on the Excellence

We are a small publishing company with high quality publications, offering multiple publication formats (Rapids, monographs, journal articles, special issues), registered with IEEE.

AMAZING-6G

Amazing Large-Scale Trials and Pilots for Verticals in 6G (AMAZING-6G)

The significance of large-scale trials in B5G/6G networks lies not only in their ability to validate the technical capabilities of the technology but also in their capacity to unveil new use cases and applications that were previously inconceivable. As we move towards a world where the Internet of Things (IoT), augmented reality, and artificial intelligence play central roles in our daily lives, these trials provide a unique opportunity to explore the potential of B5G/6G in fostering innovative solutions across various sectors, from healthcare and transportation to utilities and public/environment safety. Through large-scale trials, stakeholders can gain valuable insights into the transformative power of B5G/6G networks and strategically position themselves to harness the full spectrum of opportunities that this cutting-edge technology offers. The successful deployment of B5G/6G networks hinges on the seamless integration of advanced technologies, robust infrastructure, and effective regulatory frameworks. Large-scale trials and pilots play a pivotal role in facilitating collaboration among industry players, researchers, and policymakers, fostering an ecosystem that promotes innovation, standardization, and scalability.

6G REFERENCE / Centre Tecnologic de Telecomunicacions de Catalunya (CTTC)

6G REFERENCE

6G-REFERENCE targets transceiver hardware innovations enabling 6G densely distributed systems exploiting Distributed MIMO (D-MIMO).

University of Oulu

Innovations in 6G and XR: Results from the 6G-XR Open Calls

6G-XR is a SNS JU – stream C Experimental Infrastructure 6G research project. It consist of three main vertical areas:
1. holographic communications,
2. collaborative 3D digital twin environment for digital fabrication, and
3. energy measurement framework for end-to-end telecommunications network infrastructure.
The project, through cascade funding, makes available four research infrastructures to enable innovative research:
• Open Call 1: 6G-XR Platform and Network enablers
• Open Call 2: Stream B enablers
• Open Call 3: Vertical Replicability enablers
The poster will showcase the key outcomes of 18 successful projects, with 8 projects from Open Call 1 and 10 from Open Call 2, all of which aim to advance the integration of XR and 6G technologies for future applications in communications, digital fabrication, and energy management.

UNITY-6G / Centre Tecnologic de Telecomunicacions de Catalunya (CTTC)

UNITY-6G: A unified architecture for open RAN-enabled distributed, scalable, and sustainable 6G networks

The global reliance on technology has driven an exponential rise in energy consumption, with ICT projected to account for 21% of global electricity use by 2030. As the demand for reliable and high-performance communication systems rises, ensuring their sustainability becomes a critical challenge. UNITY-6G aims to address this by developing an energy-efficient, scalable, and interoperable architecture for future 6G networks. The project leverages AI/ML, distributed ledger technologies (DLTs), and advanced network access methods such as Non-Terrestrial Networks (NTNs) and Open Radio Access Networks (O-RAN). By integrating these technologies, UNITY-6G fosters secure, efficient, and sustainable communication infrastructure that supports diverse applications, from IoT to mobile and distributed computing. The project’s main motivation is to create a unified and intelligent network architecture that meets evolving technological demands while reducing environmental impact.

6G-VERSUS

6G-VERSUS – 6G Vertical trials for Sustainability

As the wireless communications landscape enters a new era following the widespread implementation of 5G networks, the foundational principles of 6G networks and services are currently under development. Concurrently, disruptive visions regarding the 6G contribution in the socioeconomic impact are already outlined in precision by the European Parliament. Aside from the socioeconomic benefits, it is critical that future technologies such as 6G, bring about beneficial environmental changes. To that end, future technologies hold immense potential to drive positive changes and more specifically 6G stands out as the key technology enabler for this transformative progress. 6G-VERSUS project emerges as a pioneering initiative, aiming to demonstrate how 6G technology enhances sustainability in real-world vertical use cases. Through meticulously designed trials and pilots, 6G-VERSUS addresses pressing challenges in 5 environmentally conscious vertical industries. In this regard, 6G-VERSUS introduces a novel methodology, transforming existing use cases into 6G applications, comprising Vertical App (V-App), Network App (N-App), and AI-assisted App (AIApp). This triadic structure optimizes the data and control planes of 6G systems, facilitating seamless information flow and decisionmaking processes. With the support of six 6G platforms spanning across Europe, 6G-VERSUS aims to demonstrate the profound sustainable, economic and societal impact of 6G technology, propelling towards a more sustainable and prosperous society.

6G-GOALS

Semantic and goal-oriented communications: trade-offs, methodologies and validation of a novel paradigm towards 6G

Wireless communication networks have historically been optimized with the intent of reliably and efficiently conveying the information available at a source. This approach hinged on principles from classical information theory, which allowed us for decades to optimize systems, knowing in advance their physical limits, related to rigorous mathematical definition (e.g., the entropy). However, in the future (but this is already happening), networks will not only connect human and things, but also artificial intelligence-based agents that cooperate to perform complex tasks involving control, computer vision and automated driving among others. The relevance of information strongly depends on the capabilities of the recipient agents to decode the intended meaning (or, semantic) or achieving a goal (or, goal-oriented communication). These capabilities are heterogeneous across agents and they vary across time, making networks complex systems that need cross-layer adaptations, from the physical resources up to the application. Therefore, the challenges related to connecting intelligence go well beyond the typical bit-level fidelity and efficiency challenges, which however will remain and coexist. Data format, representation and quality will have to be adapted based on the goal of communication, which can evolve over time, together with agents’ capabilities and background knowledge.

PROTEUS-6G / FLEX-SCALE

Programmable Reconfigurable Optical Transport for Efficiently offering Uncon / FLEX-SCALE strained Services in 6G

6G networks necessitate a packet-optical front-/mid-haul infrastructure that is adaptable, flexible, scalable, offers high-bandwidth, and low-latency, capable of dynamically managing Radio As the deployment of bandwidth-demanding applications continues, total traffic in telecom/datacom networks is scaling with over 50% CAGR, driving ever-higher capacity needs and stringent performance requirements. With 6G specifications emerging to support more demanding mobile use cases, fiber access hauling networks must reach smaller, denser cell sites with higher capacities, faster reconfigurability, and improved reliability—all while reducing power consumption and physical footprint.

Future 6G networks will rely on large-scale MIMO antenna deployments in small-cells and cell-free architectures, operating at higher frequencies. Each antenna site will eventually connect to optical networks at aggregation and core levels. For perspective, a beyond-5G mobile network utilizing 200-MHz carrier-aggregated signals and 64×64 massive-MIMO requires 240×10 Gb/s front-haul interfaces, bringing capacity requirements to 2.4 Tb/s per massive-MIMO antenna sector.

Meeting these challenges requires multiplexing approaches that combine spectral (Ultra-Wide-Band WDM) and spatial (Space Division Multiplexing) techniques, building upon higher rate interfaces per channel/lane. Additionally, our society seeks to reduce ICT’s energy footprint, which studies predict could exceed 20% of worldwide electricity use by 2030. Energy-efficient optical networks with greater throughput and versatility are thus vital for sustained growth of converged wireless-fixed infrastructures in emerging 6G networks.”Access Network (RAN) functional split options. The primary goal is to deliver optimal services with superior performance while minimizing power usage and costs. For implementing \textit{flexible functional splitting} (FFS), which enhances RAN efficiency by dynamically choosing the best split between Central Units (CUs) and Distributed Units (DUs) for each cell and user, the important requirement is a reconfigurable 6G front-/mid-haul network that can operate under dynamically adjustable conditions. This optical front-/mid-haul system relies on next-generation optical processing and switching technologies that are extremely energy-efficient (around pJ per bit), have ultra-high capacity (exceeding 1 Tb/s), and are fast-reconfigurable (sub-ms) through software-controlled photonic components, such as transceivers, multiplexers, and agile switches with tunable lasers and filters. Concurrently, an innovative intelligent control plane is essential for optimizing network resource utilization.
FLEX-SCALE: As the deployment of bandwidth-demanding applications continues, total traffic in telecom/datacom networks is scaling with over 50% CAGR, driving ever-higher capacity needs and stringent performance requirements. With 6G specifications emerging to support more demanding mobile use cases, fiber access hauling networks must reach smaller, denser cell sites with higher capacities, faster reconfigurability, and improved reliability—all while reducing power consumption and physical footprint.
Future 6G networks will rely on large-scale MIMO antenna deployments in small-cells and cell-free architectures, operating at higher frequencies. Each antenna site will eventually connect to optical networks at aggregation and core levels. For perspective, a beyond-5G mobile network utilizing 200-MHz carrier-aggregated signals and 64×64 massive-MIMO requires 240×10 Gb/s front-haul interfaces, bringing capacity requirements to 2.4 Tb/s per massive-MIMO antenna sector.
Meeting these challenges requires multiplexing approaches that combine spectral (Ultra-Wide-Band WDM) and spatial (Space Division Multiplexing) techniques, building upon higher rate interfaces per channel/lane. Additionally, our society seeks to reduce ICT’s energy footprint, which studies predict could exceed 20% of worldwide electricity use by 2030. Energy-efficient optical networks with greater throughput and versatility are thus vital for sustained growth of converged wireless-fixed infrastructures in emerging 6G networks.

Tietoevry Create

Tietoevry Create – 35 years of telecom innovation and R&D engineering: O-RAN & vRAN solutions, cloud-native telco, and custom IT systems for telcos

SwarmCatcher

SwarmCatcher – AI-powered Anti-Drone and Surveillance Experimental Infrastructure over Cloud-native 5G and Beyond Networks

An advanced AI-based anti-drone system for protection of critical infrastructures is required to identify and respond to potential malicious UAVs in real-time. The system involves sensors: Optical/Thermal cameras, Radar, RF detectors, Acoustic for detection, classification, identification of malicious drones, mitigating environmental disasters with forest monitoring, but also abnormal events: trespassing, emergency distress signals, fire ignition. The multi-sensory data analysis methods for early detection of incoming threats require extensive amount of data that need to be processed to provide real-time inference. Thus, an extensive computational infrastructure is required. The data are collected in edge cloud nodes, where it undergoes processing by AI-enabled threat detection techniques to support decision-making for end-users. The platform’s capabilities depend on collection of real-time streaming data. The 5G connectivity is essential to enable communication over wide coverage areas, ensuring cost-effective accessibility, scalability, and flexibility. Also, the system’s network requirements are critical for optimal functioning, necessitating high throughput for transferring large data volumes from high-resolution sensors, low latency for swift decision-making processes, and reliability and scalability to ensure continuous operation during emergencies, adaptable to large areas. A system offering inference capabilities over cloud-native 5G/B5G could provide high accuracy rates and sustainability, paving the way for employment in 6G.

6G-MIL / Detecon DE / European Defence Agency BE

Dual-Use Potential of 6G: Harmonising Civilian Future Networks with Military Resilience

The digital transformation of defence operations requires robust, secure and adaptive communications systems that can operate across land, sea, air, space and cyberspace. While 5G has introduced significant advances, it falls short of meeting the stringent requirements of mission-critical military scenarios – particularly in terms of jamming resilience, tactical mobility, ultra-low latency, and end-to-end security. 6G technologies promise to fill this gap by introducing AI-native network management, integrated sensing and communications, terahertz spectrum utilisation and quantum-secure communications capabilities. However, the baseline 6G standard is still evolving and needs to be shaped to meet defence-specific requirements. This includes features such as secure device-to-device communications, autonomous network slicing and reconfigurable intelligent surfaces (RIS) for resilient connectivity in contested environments.Our work under the EDA’s 6GMIL initiative is addressing this challenge by identifying 5G shortfalls, analysing 6G readiness and co-developing military-grade features and use cases in collaboration with key EU stakeholders. The resulting recommendations and demonstrations aim to ensure that European defence forces are not only 6G-ready, but strategically positioned to lead in the secure, real-time, multi-domain operations of the future.

SimpleRAN

SimpleRAN

The design principle of the SimpleRAN architecture is “four times fewer components, half the cost”.
SimpleRAN tries to minimise the number of components, simplify the architecture and remove dependencies to vendor-specific hardware such as accelerators. It maximises flexibility by using “dumb” remote radio heads “RRH” that support any protocol: 4G, 5G, 6G, etc.
In this Poster Booth, will be proposed early stage research related to SIMPLERAN Project, a special focus on AI in SimpleRAN with selected network functions such as energy consumption improvement. Additional posters with industrial applications from the SimplaRAN project partners might be presented if the poster booth format allows it.
Regarding the AI in SimpleRAN poster, the context is introduced is hereafter:
The rapid expansion of 5G networks is enabling a wide range of data-intensive and latency-sensitive applications, from autonomous vehicles to remote healthcare. However, this proliferation comes at the cost of increased energy consumption across both the core and radio access networks.
Traditional network architectures are not inherently designed for energy-aware optimization, often resulting in static configurations that fail to adapt to changing traffic and user behavior. The emergence of Open Radio Access Network (Open RAN) architectures, coupled with the 3GPP-defined Network Data Analytics Function (NWDAF), opens new opportunities for leveraging real-time data and AI to achieve intelligent, adaptive power management. These capabilities are particularly relevant as operators transition toward software-defined, virtualized, and cloud-native infrastructure under the Network Function Virtualization (NFV) paradigm.
While theoretical studies and simulations have explored AI-driven network optimization, there remains a gap in practical, end-to-end frameworks that integrate real-time analytics, open-source 5G cores, and RAN simulators to test and validate energy-saving strategies. This work addresses this gap by introducing Simplespace—a novel framework built on free5GC, NWDAF, and Multi-Agent Reinforcement Learning (MARL)—that enables experimentation with data-driven energy optimization in a flexible and reproducible testbed. The motivation is to demonstrate how AI models, when integrated with network telemetry and analytics, can proactively control power states, reduce unnecessary energy expenditure, and maintain service quality in real-world 5G scenarios.

AMBIENT-6G

Towards standardized 6G connectivity for ambiently-powered energy neutral IoT devices

Internet of Things (IoT) technology is widely recognised as having the potential to tackle some of the world’s biggest challenges. However, to truly benefit society and enable a sustainable future, IoT innovations will need to address the technology gap that exists in powering the rising number of IoT devices. Specifically, the environmental and economic cost associated with the battery maintenance and replacement of hundreds of billions of future IoT devices will be exorbitant. To tackle this, a new class of energy-neutral IoT devices is proposed, which exploit ambient energy harvesting or wireless power transfer to recharge their energy storage. Energy-neutral devices can achieve decades-long energy autonomy. However, this comes at the cost of an unpredictable energy supply and limited power budget. Ensuring effective and reliable communications and computing on such devices requires a radical rethinking of both the device itself, as well as the network infrastructure it connects to.

XTRUST-6G

Extended zero-trust and intelligent security for resilient and quantum-safe 6G networks and services

The 5G+/6G networks will consist of heterogeneous, massively connected devices that gather, process and share huge volumes of data to deliver intelligent services across IoT, IIoT and in-X subnetworks. This vision is expected to bring ultra-high-speed and near-instant wireless connectivity with ultra-low energy cost to meet extreme requirements of IoT and IoE applications and will create complex ecosystems that are hard to analyze, secure and maintain. The 5G+/6G networks will introduce new security threats and challenges, such as adversarial AI attacks, virtualization and cloud-native attacks and identity-based attacks requiring resilient, trustworthy and scalable infrastructures.

NexaSphere

NexaSphere

The ongoing integration of TN and NTN technologies into a single converged infrastructure is one of the key enablers for the definition of the forthcoming 6G systems. In this regard, the unification exercise is such to ensure seamless and effective integration between heterogeneous technologies and to meet the requirements exposed by diverse verticals. In particular, a key component of such a 6G perspective will be the definition of 3D space networks, able to complement the terrestrial infrastructure and provide services from space.