November 14, 2023. Tuesday, 3PM. TG23 (Town Hall).
Speaker: Ali Khoshkholghi (Middlesex University, London)
Title: xURLLC in 6G with Medshed RAN
Abstract: 5G Ultra-Reliable Low Latency Communications Technology (URLLC) will not be able to provide extremely reliable low latency services to the complex networks in 6G. Moreover, URLLC that began with 5G has to be refined and improved in 6G to provide xURLCC (extreme URLCC) with sub-millisecond latency, for supporting diverse mission-critical applications. This paper aims to highlight the importance of peer-to-peer mesh connectivity for services that require xURLLC. Deploying mesh connectivity among RAN nodes would add significant value to the current 5G New Radio (5G NR) enabling 6G to increase flexibility and reliability of the networks while reducing the inherent latency introduced by the core network. To provide a mesh connectivity in RAN, the nodes should be able to communicate with each other directly and be independent from the mobile core network so that data can be directly exchanged between base stations (gNBs) whereas certain aspects of signalling procedure including data session establishment will be managed by RAN itself. In this work, we introduce several architectural choices for a mesh network topology that could potentially be crucial to a number of applications. In addition, three possible options to create mesh connectivity in RAN are provided, and their pros and cons are discussed in detail.
Bio: Ali Khoshkholghi received his Ph.D. degree in Computer Science in 2017, and MSc and BSc degrees in Computer Engineering, in 2011 and 2007, respectively. He is currently a Lecturer in the Department of Computer Science at Middlesex University. Before joining MDX, he worked as a lecturer and researcher in the Center for Telecommunication Research (CTR), Department of Engineering, King’s College London (KCL), from 2020 to 2022. Before that, he worked as a postdoctoral research fellow with the DISCO Research Group, Department of Computer science, Karlstad University, Sweden, from 2018 to 2020. He also worked as a researcher and lecturer within computer science in industry and other institutions in the past few years. He serves as the referee, TPC and editorial board member for several journals and conferences. His research interests lie in the area of Edge/Cloud Computing, 6G, NFV and Machine Learning.