VAP1: IoT Services and 5G Technologies

Wednesday, 9 June 2021, 11:30-13:00, Zoom Room

Session Chair: Nandana Rajatheva (Univ. Oulu, Finland)

Cell Association for MTC Devices in 5G Networks: Schemes and Performance Evaluation

Dinithi Vithanage and Indika Anuradha Mendis Balapuwaduge (University of Ruhuna, Sri Lanka); Frank Y. Li (University of Agder, Norway); Vicente Casares-Giner (Universitat Politècnica de València, Spain)
Fifth generation (5G) networks offer tremendous opportunities for Internet of things applications by facilitating massive machine-type communications (MTC). As many MTC devices are battery powered and intend to stay often in the sleep or power-saving mode, cell (re)association needs to be performed when a device wakes up. On the other hand, 5G networks are usually deployed as heterogeneous networks consisting of both macro- and small-cells under which a single device may be covered by multiple radio access technologies (RATs) simultaneously. Therefore, it is imperative to design effective cell association schemes for the purpose of efficient connectivity and resource utilization, especially when a device has multiple connectivity options. In this paper, three cell association schemes are proposed by considering a network scenario where multiple cells and different RATs are available for MTC devices. To perform cell association, received signal strength, channel occupancy status of neighboring cells, and directed handoff capability are considered as the criteria for our scheme design. Through analysis and extensive simulations, we demonstrate that superior system performance could be achieved for a given network by employing a suitable scheme that integrates multiple criteria and considers performance tradeoff.

 

Enhanced Teleoperated Transport and Logistics: A 5G Cross-Border Use Case

Johann M. Marquez-Barja (University of Antwerpen & imec, Belgium); Seilendria A. Hadiwardoyo (University of Antwerp & IMEC, Belgium); Bart Lannoo (University of Antwerp – imec, Belgium); Wim Vandenberghe (Ministerie van Infrastructuur en Waterstaat, The Netherlands); Eric Kenis (Ministerie van Mobiliteit en Openbare Werken, Belgium); Lauren Deckers (HZ University of Applied Sciences, The Netherlands); Maria Chiara Campodonico and Klaudia Dos Santos (Martel Innovate, Switzerland); Rakshith Kusumakar (V-TRON, The Netherlands); Matthijs Klepper (KPN, Mobile Innovation Radio, The Netherlands); Joost Vandenbossche (Be-Mobile, Belgium)
5G technologies promise to significantly improve the network connection with ultra-low latency communications and edge computing, enabling the delivery of groundbreaking solutions, such as autonomous vehicles and artificial intelligence (AI) based communications systems. As 5G mobile networks are still under deployment, the potential for 5G-connected AI-assisted driverless cars, drones, and vessels is still several years away. However, to realize fully connected and automated mobility (CAM), a crucial step needs to be addressed: 5G-based teleoperated transport. For this reason, the H2020 5G-Blueprint project is designing, testing, and validating a 5G-enabled teleoperated transport system and its enabling functions in both relevant and operational environments, realized through cross-border trials on the road/highways and waterways along 5G corridors that cross through Belgium and The Netherlands. The main outcome of the 5G-Blueprint project will result in a blueprint for the future cooperation between public, private, and semi-private parties (e.g., ports), empowered by 5G technologies and new insights related to the architecture, governance, and relevant business models of CAM services.

 

Cloud-Native 5G Infrastructure and Network Applications (NetApps) for Public Protection and Disaster Relief: The 5G-EPICENTRE Project

Konstantinos Apostolakis, George Margetis and Constantine Stephanidis (Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece); Jean-Michel Duquerrois, Laurent Drouglazet, Arthur Lallet and Serge Delmas (Airbus DS Secure Land Communications, Elancourt, France); Luis Cordeiro and Andre S. Gomes (OneSource, Coimbra, Portugal); Marta Amor (Nemergent Solutions SL, Bilbao, Spain); Almudena Diaz Zayas (ITIS Software, Universidad de Málaga, Málaga, Spain); Christos Verikoukis (Telecommunications Technological Centre of Catalonia (CTTC/CERCA), Castelldefels, Spain); Kostas Ramantas (Iquadrat Informatica S.L., Barcelona, Spain); Ioannis Markopoulos (Innovation & Project Management Department, Forthnet S.A., Athens, Greece)
5G will lay the foundations for the mainstream broadband wireless technology of the next decade, a leverage toward ensuring the efficiency, effectiveness and adaptability of everyday high-demanding operations, such as those in Public Protection and Disaster Relief. The ITU considers LTE-Advanced systems and 5G as a mission critical PPDR technology able to address the needs of MC intelligence, providing support for MC voice, data and video services as an IMT radio interface. In this paper, we introduce 5G-EPICENTRE, an innovation action funded by the EC under the Horizon 2020 research framework, which aims to deliver an open, federated 5G end-to-end experimentation platform specifically tailored to the needs of PPDR software solutions. The envisioned platform will allow SMEs and developers a lower entry barrier to the PPDR market, enabling them to build-up and experiment with their solutions in a cost effective way. The 5G-EPICENTRE platform will be based on an open Service Oriented Architecture and will accommodate open access to 5G networks’ resources, acting this way as an open source repository for PPDR 5G Network Applications (NetApps). The purpose of the federated platform is to provide sufficient resources to cover the entire range of the 3 ITU-defined service types (i.e. eMBB, mMTC and URLLC) and to deliver secure interoperability capabilities beyond vendor-specific implementation.

 

Performance and Service Continuity of HD Map Downloads in MEC-Enabled Cross-Border Mobile Radio Networks

Maciej Muehleisen (Ericsson GmbH, Germany); Mazen Abdel Latif (Ericsson, Germany); Mikael Nilsson (Lund University & Volvo Car Corporation, Sweden); Roland Gustafsson (Ericsson AB, Sweden); Hongxia Zhao (Volvo Car Coporation, Sweden); Daniel Mcgillivray and Magnus Castell (Ericsson AB, Sweden); Henrik Segesten, Johan Löfhede and Ulf Larson (Volvo Car Coporation, Sweden)
Cooperative, Connected and Automated Mobility (CCAM) will enrich assisted and automated driving by exchange of information among vehicles (V2V), as well as between vehicles and the network, commonly also called “cloud” or “backend”, (V2N). HD Mapping is such a V2N use case where vehicles obtain up-to-date information about the roads they drive on. This includes lane markings and dedication of lanes, to e.g. better distinguish between parking vehicles and vehicles waiting at a traffic light, and road signs like speed limits. Such information can become outdated, e.g. due to road constructions, and vehicles therefore download it on-the-fly before entering corresponding areas. Such HD map tile downloads must be seamlessly enabled and especially should not be interrupted when crossing a country border and with that also switching between different Mobile Network Operators (MNOs). It is furthermore a candidate service for Mobile Edge Cloud (MEC) deployment, as it might benefit from faster HD map tile transmissions from reduced round trip times (RTTs) enabled by MEC-hosting. This paper evaluates the performance gain MEC-hosting has over hosting on the public Internet and shows how seamless cross-MNO service continuity is achieved by enabling handover across different MNOs. Results from corresponding trials at the AstaZero automotive test ground are presented showing no noticeable effect on use case performance when handing over between the two mobile networks. Furthermore, it is shown that bulk-data transmission use cases like HD Mapping, using webserver download with TCP, benefit from reduced RTT from MEC-hosting through shorter HD map tile download times. In our setup 15 ms reduced RTT resulted in 15% shorter download times.