Thursday, 20 June 2019, 12:30-13:00, Networking Area (Multi-purpose room 2)
Managing Integrated satellite-5G Networks Techno-Economic Evaluation of a Brokerage Role
Asma Chiha (University of Gent & IMEC, Belgium); Marlies Van der Wee (imec- Ghent University, Belgium); Michael Fitch (University of Surrey UK, United Kingdom (Great Britain)); Keith Briggs (BT Group, United Kingdom (Great Britain)); Simon Watts (Avanti Communications, United Kingdom (Great Britain)); Leonardo Goratti (Zodiac Aerospace, Germany); Boris Tiomela Jou (Airbus Defence and Space, France)
Demand from new applications poses technological challenges for future communication networks. For some specific use cases, satellite networks can provide a complementary solution to terrestrial deployments. However, combining 5G and satellite networks requires close collaboration between different stakeholders, which poses new business challenges. This paper aims to evaluate, from a business-model point of view, the role of a radio-resource broker in the case of integration of the satellite communication into 5G networks. The paper concludes that a broker can lead to efficiency gains, if certain technical challenges are overcome and if it is overseen by a regulatory body. The broker is envisaged to operate on a medium time-scale of the order of hours, resulting in some degree of automation in resource allocation.
On the Use of Existing 4G Small Cell Deployments for 5G V2N Communication
Umar Saeed, Jyri Hämäläinen and Edward Mutafungwa (Aalto University, Finland); Risto Wichman (Aalto University School of Electrical Engineering, Finland); David Gonzalez G. (Continental Automotive, Germany); Mario Garcia-Lozano (Universitat Politècnica de Catalunya, Spain)
The main aim of this paper is to study feasibility and analyse performance of the existing 4G cellular networks at sub-6 GHz and millimeter wave carriers for vehicle-to-network applications. For this purpose, road-side network coverage, signal-to-interference-plus-noise (SINR), throughput and handover rate are used as key performance indicators (KPIs). The KPIs are calculated over realistic vehicular user routes which are created by Google maps. The channel pathloss is simulated using WinProp, a ray tracing software. It is shown that, for existing small cell deployments, which are primarily meant to serve the macrocell edge users, the coverage is fragmented at 28 GHz carrier.
On the Deployment of Large Scale NSaaS
Thomas Deiss, Bertold Dickhaus and Dereje Kifle (Nokia, Germany)
Network Slicing is an enabling technology of 5G mobile networks. Multiple logical networks, i.e. network slice instances, satisfying different service level requirements can be deployed on the same physical infrastructure. Each of these logical networks can be described as a network service descriptor as defined by ETSI NFV. Although ETSI NFV defines support for physical network functions and for deployments across multiple datacenters, these topics are taken to a new level of scale in 5G network slices. In this paper we describe issues caused by this level of scales and which have to be solved both in describing a 5G network slice and in deploying it as a service (NSaaS). We also describe how these issues have been tackled in the 5G-TRANSFORMER project.
5G Video Optimization Challenges for Entertainment and Remote Driving in Connected Mobility
Ignacio Benito Frontelo (Nokia Bell Labs, Spain); Jaime Ruiz Alonso (Nokia Spain SA, Nokia Bell Labs, Spain); Pablo Pérez (Nokia Bell Labs, Spain); Diego Bernardez Moron (CTAG, Spain); Francisco Sanchez (Centro Tecnológico de Automoción de Galicia, Spain); João Moutinho (Centro de Computação Gráfica, Portugal)
New video use cases, which have never been studied in the past in mobile networks, arise when dealing with high bandwidth and low latency video as 5G is being deployed. Careful planning, measures collection and KPI identification techniques are proposed to ensure viability in the real world. In this paper two use cases , one for eMBB (enhanced Mobile Broadband) and another one for URLLC (Ultra Reliable Low Latency Communications) are presented with their related strategies for obtaining and processing the appropriate measures and KPIs. Real activities performed as part of H2020 ICT-18-2018 5G-MOBIX research project in a road corridor between Vigo in Spain and Porto in Portugal are also described.
MESON: Facilitating Cross-Slice Communications for Enhanced Service Delivery at the Edge
Konstantinos V. Katsaros (Intracom S.A. Telecom Solutions, Greece); Panagiotis Papadimitriou and Georgios Papathanail (University of Macedonia, Greece); Dimitrios Dechouniotis (National Technical University of Athens, Greece); Symeon Papavassiliou (ICCS/National Technical University of Athens, Greece)
Enabled by NFV/SDN technologies, network slicing promises the provisioning of network services tailored to the needs of vertical service providers. Focusing on resource and performance isolation, as well as security concerns linked to multi-tenancy, emerging management and orchestration (MANO) frameworks typically offer network slices in the form of isolated silos of network, compute and storage resources, across the network infrastructure, including the edge. In this paper, we challenge the holistic applicability of this approach, advocating the careful orchestration of cross-slice communications (CSC). We argue that multi-tenancy and service co-location presents unique opportunities for B2B interactions, inter-service communications and service composition, especially in the case of edge computing and location-based services. However, network slice isolation in its prevailing form raises significant concerns related to performance and resource utilization. In this context, we present MESON, a MANO framework aiming at facilitating cross-service/cross-slice communications and further identify and discuss key challenges towards the support of secure and optimized cross-slice communications at the edge of the network.
5G Network Slicing Based on SDN and Machine Learning
Jose Costa-Requena (Aalto University, Finland); Abdulkadir Mohammedadem (Cumucore, Finland)
This paper describes the current limitations of networking technologies when applied to 5G mobile backhaul. In 5G the same network must fulfil a diverse set of QoS requirements for URLLC, Massive Internet of Things (MIoT) or enhanced Mobile Broadband (eMBB) communications. In the past mobile backhaul network have fulfilled the traffic requirements based on over-dimensioning and pre-provisioning that ensure enough capacity for best-effort IP based networks. However, network slicing is completely dynamic and cannot be deployed based on over-dimensioning due unpredicted needs for slices with different requirements. The assigned resources can be increased and decreased in size based on user needs and policies that change over time. The slices might be created and terminated dynamically based on end-user requirements. This paper presents a design that integrates Software Defined Networking (SDN) with Machine Learning (MJ) for efficient management of network slicing in 5G mobile backhaul.
IoT Gateway Virtualization for 5G mMTC Network Slicing
Vasileios Theodorou and Konstantinos V. Katsaros (Intracom S.A. Telecom Solutions, Greece); Christos Tranoris and Spyros Denazis (University of Patras, Greece)
The expected 5G support for massive machine type communications (mMTC), promises the simplification of IoT infrastructure deployment and operation, via scalable cellular coverage. This in turn supports a convergence between the IoT platform and the telecommunication domains, allowing for the integration of IoT platform capabilities within the operational scope of 5G networks. It follows that the support of IoT-enabled vertical domains goes through the envisioned 5G service orchestration mechanisms, allowing the flexible and programmable deployment and management of the corresponding services. In this paper, we take a first step towards the integration of network slicing capabilities and IoT resources, by presenting a novel approach for the support of network slicing for mMTC. Focusing on the shareability of existing IoT resources, we introduce a modular slicing architecture, which enables virtualization at the IoT GW level and mediated, coordinated communication with IoT devices. Based on this architecture and supporting orchestration mechanisms, we illustrate our proof of concept prototype based on open source components.
5G End-to-End Open-Source Network: Architecture and Use Cases
Sofiane Imadali (Orange Labs & Orange, France); Mohamad Yassin (Orange Labs, France); Lukasz Rajewski (Orange Polska & Warsaw University of Technology, Poland); Grzegorz Panek (Orange Polska, Poland); Tomasz Osiński (Orange Polska & Warsaw University of Technology, Poland); Louiza Yala and Ayoub Bousselmi (Orange Labs, France)
Following the convergence of the mobile communications and cloud computing industries, current 4G services evolve towards 5G cloud native ones. Mobile Network Operators (MNOs) leverage cloud-computing paradigms for reducing Operational Expenditures and injecting more and more automation in their mobile network infrastructure. To achieve this vision, multiple components from the orchestration level to the infrastructure level and from the application to the terminal need to be integrated and tested. In this paper we propose an integrated mobile networking system based on Open Source software. We also propose an ONAP-based automation framework to deploy Cloud Native Functions (CNFs) such as CloudRAN based on OpenAirInterface (OAI). Finally, we introduce the design and implementation of a prioritization mechanism inside OAI.
On the Uplink Spectral Efficiency of FBMC Systems
Davide Mattera (Università degli Studi di Napoli Federico II, Italy); Mario Tanda (Università di Napoli Federico II, Italy); Maurice Bellanger (CNAM, France)
The analysis of the spectral efficiency that can be achieved by using two kinds of modulations, namely OQAM and PAM, in FBMC transceivers in the uplink of the modern wireless networks is carried out. Such efficiency is studied in a scenario where the limitations are introduced by interferences due to the multiple access scenario, rather than by the presence of hostile wireless channels. The analysis shows that FBMC-OQAM transceivers are able to achieve significant values of spectral efficiency also in the most difficult conditions, i.e., when the subcarriers blocks to be shared according to a time multiplexing approach are much small; however, when the frequency block assigned to each terminal becomes larger, the FBMC-PAM transceiver is better suited and it optimizes the spectral efficiency.
An Enhanced Version of IEEE 802.15.4 Standard Compliant Transceiver Supporting Variable Data Rate
Muhammad Aslam and Xianjun Jiao (Ghent University – imec, IDLab, Belgium); Wei Liu (University Ghent – imec, Belgium); Ingrid Moerman (Ghent University – imec, Belgium)
In Industrial Wireless Sensor Networks (IWSN), standard compliant state-of-the-art devices typically provide fixed data rate (for instance, IEEE 802.15.4 based devices has a 250kbps with fixed Bandwidth (BW) of 2MHz in 2.4GHz.). The fixed BW restricts these devices from presenting their optimal performance in a continuously varying radio spectrum environment, i.e., narrow-band modes fit best in a crowded spectrum, whereas wide-band modes perform better for low latency scenario). The flexible feature of a Software Defined Radio (SDR) allows us to propose a communication system capable of operating in both standard BW and non-standard BW modes with the same hardware accelerator. In this work, IEEE 802.15.4 compliant SDR transceiver is introduced, where flexible Medium Access Control (MAC) and Physical (PHY) layers are implemented in Time-Annotated Instruction Set Computer (TAISC) and FPGA, respectively. This unique introduction of flexibility at both layers enables our solution to operate in multiple modes which can be categorized into the three subtypes depending on the signal bandwidth, i.e. Narrow-Band (NB), standard compliant, and Wide-Band (WB). The multi-band feature enables the solution to work efficiently in a diverse radio spectrum environment. Experimental results unveil that our transceiver provides receiver sensitivity of -107dBm, -98dBm, and -90dBm when it is configured in NB, standard and, WB modes respectively.
Performance Evaluation of THz Wireless Systems Under the Joint Impact of Misalignment Fading and Phase Noise
Evangelos N. Papasotiriou, Alexandros-Apostolos A Boulogeorgos and Angeliki Alexiou (University of Piraeus, Greece)
In this paper, we investigate the joint impact of misalignment fading and local oscillator (LO) phase noise (PHN) in multi-carrier terahertz (THz) wireless systems operating the range of 275 to 400 GHz. In more detail, after establishing a suitable system model that take into account the particularities of the THz channel, namely path-loss, atmospheric conditions, attenuation due to aerosols, the stochastic nature of antenna misalignment, due to natural phenomenon, as well as the transceivers characteristics, i.e., antenna gains and the level of LO imperfections, we present Monte-Carlo simulation results that quantify the joint impact of misalignment fading and PHN in terms of average signal-to-interference-plus-noise ratio and outage probability.
Index Modulated Orthogonal Frequency Division Multiplexing with Quasi-Orthogonal Sequence
Hyeongseok Kim, Myeonggil Yeom and Jeongchang Kim (Korea Maritime and Ocean University, Korea)
This paper proposes an index modulated orthogonal frequency division multiplexing with quasi-orthogonal sequence (IM-OFDM-QOS) system. The number of available sequences of QOS is larger than the orthogonal sequence such as Walsh sequence. Therefore, by applying QOS to OFDM with index modulation (OFDM-IM) system, the proposed system can improve the spectrum efficiency compared to the conventional OFDM-IM and IM-OFDM with spread spectrum (IM-OFDM-SS) systems. Simulation results show that the proposed system outperforms the conventional OFDM-IM and IM-OFDM-SS systems for a given data rate.
Clustering-based mmWave Channel Propagation Models for Outdoor Urban Scenarios
Bogdan Antonescu, Miead Tehrani Moayyed and Stefano Basagni (Northeastern University, USA)
This paper concerns the task of generating simpler yet accurate mmWave channel models based on clustering all multipath components arriving at the receiver. Our work focuses on communications in urban outdoor scenarios simulated with a ray-tracer tool. We investigate the effectiveness of k-means and k-power-means clustering algorithms in predicting the number of clusters through the use of cluster validity indices (CVIs) and score fusion techniques. Our results show how these two solutions generate accurate approximation of the mmWave channel model, greatly simplifying the complexity of analyzing large amount of rays at any receiver location.
MATILDA: A Value Proposition for Telecommunication Service Providers for Vertical Applications’ Integration in a 5G -Ecosystem
Ioanna Mesogiti, Elina Theodoropoulou and George Lyberopoulos (COSMOTE Mobile Telecommunications S.A., Greece); Fotini Setaki (COSMOTE Mobile Telecommunications S.A. Greece, Greece); Aurora Ramos (Atos, Spain); Panagiotis Gouvas (Ubitech, Greece); Anastasios Zafeiropoulos (UBITECH & National Technical University of Athens, Greece); Roberto Bruschi (CNIT, Italy)
5G networks will constitute a complete transformation in the ICT domain by enabling the deployment of vertical services within the network infrastructures, based on extensive use of network softwarization and programmability. This shift will trigger and facilitate the transformation of existing stakeholders’ roles, as well as the interactions between multiple stakeholders from the traditionally separated markets. The 5G-PPP project MATILDA aims at delivering a holistic 5G end-to-end services operational framework, including 5G-ready applications lifecycle management from development to deployment over 5G network infrastructures. This paper aims at providing a refined and extended vision of the 5G business roles and their interactions and based on these at defining business applicability of the MATILDA project, with special focus on the project’s value proposition addressing the Telecommunication Service Providers.
Architecture Proposal for SD-IoT Deployments with a Decoupling of Gateway Functionalities
Jara Suárez de Puga and Andreu Belsa (Universitat Politècnica de València, Spain); Carlos E Palau (Universitat Politecnica Valencia, Spain)
the flexibility and programmability offered by Software Defined Networking (SDN) emerge as an approach to resolve some of the main challenges that Internet of Things deployments expose. In the present article we explore the application of SDN paradigm onto IoT deployments. For this purpose, an architecture is defined with the novelty of decoupling the functionalities of traditional IoT gateways in two main components; the physical gateway, located next to the devices, that implements access network and data forwarding, and the virtual gateway, located in the SDN network, that performs more resource consumption processes. In this architecture the core infrastructure is create by means of SDN tools, using OpenVSwitch, RYU controller and a developed application to provide basic QoS services. Over this infrastructure the virtual gateways are created as a service, when a new physical gateway needs to be connected, demonstrating the flexibility and adaptability of the SDN network. Also, IoT platforms can be deployed over this infrastructure thus the data can finally be processed and stored on them. To validate the architecture, a real scenario is considered and recreated, with different measurement recorded over it in order to demonstrate the feasibility of the proposal.
An Analysis of Redundancy Schemes on Cloud Radio Access Network Reliability
Kunjan Shah and Sina Khatibi (NOMOR Research GmbH, Germany); Borislava Gajic (Nokia Bell Labs, Germany)
While moving towards next-generation wireless technology, network virtualisation is a key pillar among major enablers. In addition to improved cost efficiency and less hardware dependency, virtualisation presents an enabler for improved network reliability including Radio Access Network (RAN) reliability by utilising redundant virtual instances. This paper presents a framework for analysis of redundancy schemes to improve cloud RAN reliability. It describes the different modes for utilising redundancy in RAN and RAN self-healing procedures, i.e. steps taken to heal a faulty RAN VNF instance and to bring into the fully functional state again. In this respect, the paper analyses different redundancy schemes through extensive simulations. Each scheme maps to a specific set of the requirement in terms of virtual resource requirement and resulting achieved availability of RAN. The novelty of the paper is Quality of Service impact for different schemes during an event of a failure within virtualised RAN. Results shows with the redundancy schemes reliability of five-nines is possible. Using the presented approaches, stakeholders can accordingly tailor the network deployment to achieve a specific set of service goals.
Multistandard RAS in a K-Tier Network of Various Geometry, Coverage and Capacity
Jasmin Musovic (Communications Regulatory Agency, Bosnia and Herzegovina); Vlatko Lipovac (University of Dubrovnik, Croatia)
In this paper we present an analytical model for planning and using network resources to improve network coverage, capacity and reliability, reduce network investment and maintenance costs, as well as reduce the electrical power consumption. The analysis considers the downlink of an arbitrary heterogeneous cellular network by using tools of stochastic geometry that adopts the distribution of base stations in the form of Poisson Point Process. To prove the analytical model, simulation based on ns3 network simulator has been conducted, with accurately matching the theoretical values and boundaries.