6ET2: 6G Enabling Technologies II
Thursday, 10 June 2 021, 16:00-17:30, Zoom Room
Session Chair: Albert Banchs (UC3M, Spain)
Adriana Fernández-Fernández (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain); Michael De Angelis and Pietro Giardina (Nextworks, Italy); James Taylor (Bartr Group, United Kingdom (Great Britain)); Paulo Chainho (Altice Labs, Portugal); José M. Jorquera Valero (University of Murcia, Spain); Leonardo Ochoa-Aday (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain); Diego Lopez (Telefonica I+D, Spain); Gino Carrozzo (Nextworks, Italy); Muhammad Shuaib Siddiqui (Fundació i2CAT, Internet i Innovació Digital a Catalunya, Spain)
To fully cope with the requirements of innovative 5G use cases, evolving business models and flexible networking scenarios spanning multiple administrative domains are envisioned. In this context, transparent and trusted frameworks that enable network service providers and infrastructure providers to advertise, negotiate and acquire, in real time, 5G resources and services, distributed over various geographical areas, are extremely valuable. To address this goal, emerging Distributed Ledger Technologies (DLTs) arise as well-suited solutions to ensure distributed security and trust, as well as effective and agile transaction management across the various parties involved in the 5G service chain implementation. Following this vision, this paper presents the design of a DLT-enabled Marketplace aimed to foster the secure trading of heterogeneous resources in dynamic 5G ecosystems. The performance of an initial implementation as proof-of-concept is also analyzed. The results of this proof-of-concept validate the feasibility of a decentralized marketplace implementation in the context of 5G resource trading.
Vera Stavroulaki (WINGS ICT Solutions, Greece); Emilio Calvanese Strinati (CEA-LETI, France); Francois Carrez (University of Surrey, United Kingdom (Great Britain)); Yannick Carlinet (Orange Labs, France); Mickael Maman (CEA-Leti Minatec Campus, France); Drasko Draskovic (NOKIA, France); Drazen Ribar (AIRBUS, France); Arthur Lallet (Airbus, France); Klaus Mößner (Chemnitz University of Technology, Germany); Milenko Tosic (VizLore Labs Foundation, Serbia); Mikko Uitto (VTT Technical Research Centre of Finland Ltd, Finland); Seilendria A. Hadiwardoyo (University of Antwerp & IMEC, Belgium); Johann M. Marquez-Barja (University of Antwerpen & imec, Belgium); Esther Garrido (Atos Spain, Spain); Makis Stamatelatos (Diakinisis, Greece); Khaled Sarayeddine (Optinvent, France); Pablo Sanchez Vivas (TTI, Spain); Aarne Mämmelä (VTT Technical Research Centre of Finland, Finland); Panagiotis Demestichas (University of Piraeus, Greece)
In future 6G wireless networks, it is imperative to support more dynamic resourcing and connectivity to improve adaptability, performance, and trustworthiness in the presence of emerging human-centric services with heterogeneous computation needs. This paper presents the vision and the methodology of the European DEDICAT 6G project. DEDICAT 6G has been established to develop a smart connectivity platform that exploits artificial intelligence and blockchain techniques as enablers for future 6G networks to dynamically combine the existing communication infrastructure with a novel distribution of intelligence (data, computation, and storage) at the edge. This will enable not only flexible, but also energy efficient realisation of the envisaged real-time experience. DEDICAT 6G will design and develop mechanisms for dynamic coverage extension exploiting novel types of terminals and mobile client nodes, e.g., smart connected cars, robots, and drones. Part of the research to be performed includes mechanisms for security, privacy, and trust assurance especially for mobile edge services, and enablers for novel interaction between humans and digital systems complement the approach. DEDICAT 6G focuses on four representative 6G use cases: Smart Warehousing, Enhanced Experience, Public Safety and Smart Highway. The use cases will pilot the developed solutions via simulations and demonstrations in laboratory environments, and larger field evaluations exploiting various assets and testing facilities. The results are expected to show significant improvements in terms of intelligent network load balancing and resource allocation, extended connectivity, enhanced security, privacy and trust and human-machine interactions, thus demonstrating mechanisms that will enable networks beyond 5G.
Emilio Calvanese Strinati (CEA-LETI, France); George C. Alexandropoulos (University of Athens, Greece); Vincenzo Sciancalepore (NEC Laboratories Europe GmbH, Germany); Marco Di Renzo (Paris-Saclay University / CNRS, France); Henk Wymeersch (Chalmers University of Technology, Sweden); Dinh-Thuy Phan-Huy (Orange-France Telecom, France); Maurizio Crozzoli (Telecom Italia, Italy); Raffaele D’Errico (CEA, LETI, Minatec Campus & Univ\. Grenoble-Alpes, France); Elisabeth de Carvalho and Petar Popovski (Aalborg University, Denmark); Paolo Di Lorenzo (Sapienza University of Rome, Italy); Luca Bastianelli (Università Politecnica delle Marche, Italy); Mathieu Belouar (SNCF, France); Julien Etienne Mascolo (CRF, Italy); Gabriele Gradoni and Sendy Phang (University of Nottingham, United Kingdom (Great Britain)); Geoffroy Lerosey (Greenerwave, Germany); Benoit Denis (CEA-Leti Minatec, France)
The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 2030 horizon, 6G networks are poised to pave the way for sustainable human-centred smart societies and vertical industries, such that wireless networks will be transformed into a distributed smart connectivity infrastructure, where new terminal types are embedded in the daily environment. In this context, the RISE-6G project aims at investigating innovative solutions that capitalize on the latest advances in the emerging technology of Reconfigurable Intelligent Surfaces (RISs), which offers dynamic and goal-oriented radio wave propagation control, enabling the concept of the wireless environment as a service. The project will focus on: i) the realistic modeling of RIS-assisted signal propagation, ii) the investigation of the fundamental limits of RIS-empowered wireless communications and sensing, and iii) the design of efficient algorithms for orchestrating networking RISs, in order to implement intelligent, sustainable, and dynamically programmable wireless environments enabling diverse services that go well beyond the 5G capabilities. RISE-6G will offer two unprecedented proof-of-concepts for realizing controlled wireless environments in near-future use cases.
Malla Reddy Sama (DOCOMO Euro-labs, Germany); Riccardo Guerzoni (DOCOMO Euro-Labs, Germany); Wolfgang Kiess (University of Applied Sciences Koblenz, Germany); Srisakul Thakolsri (DoCoMo Euro-Labs, Germany); Jan Jürjens (University of Koblenz & Fraunhofer ISST (Germany))
Ultra-Reliable Low Latency Communication (URLLC) requirements will continue to influence the future 6G network. While the 3GPP 5G System created a foundation for URLLC, its reliability mechanisms are purely connectivity oriented. Failure handling in the application layer is left to the application itself. In fact, from the mobile network perspective, anything outside the mobile network domain is considered as out of the scope of the 5G system. In this paper, we propose a novel Make-Before-Break-Reliability (MBBR) mechanism with application-network interaction and a new paradigm to detect the application server failures by the network and seamlessly transfer the communication session to the redundant application server in order to realize the ultra-reliable 6G network.
Murat Temiz (University of Manchester, United Kingdom (Great Britain)); Emad Alsusa (Manchester University, United Kingdom (Great Britain)); Mohammed W. Baidas (Kuwait University, Kuwait)
This paper proposes optimized precoders for dual-functional radar and communication (RadCom) systems to maximize the sum-rate (SR) while satisfying radar target detection and user data rate constraints towards 6G networks. For this purpose, a RadCom precoder scheme that exploits radar interference is utilized with massive multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. Firstly, the communication capacity and radar detection performance metrics are analytically derived. Then, optimum precoders that utilize these analytical expressions are designed via convex optimization to maximize the SR with modest computational complexity. The analytical results are also verified by simulations. The results show that the optimized precoder can substantially enhance the SR compared to the benchmark methods.