Webinar on Resource Allocation in Cloud-Radio Access Networks and Fog-Radio Access Networks for B5G Systems
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- Prof. Megumi Kaneko and Prof. Bruno Clerckx
KAUST
First Speaker: Megumi Kaneko, National Institute of Informatics, Japan. Talk Title: Resource Allocation in NOMA-Based Fog Radio Access Networks. In this talk, I will first describe the potential benefits offered by the integration of NOMA in an FRAN architecture for achieving the specific objectives of use cases envisioned in B5G, in terms of throughput, latency, reliability and energy efficiency. Second Speaker: Bruno Clerckx, Imperial College London, United Kingdom. Talk Title: Rate-Splitting Multiple Access and its Applications to Cloud-Enabled Platforms. This talk argues that to efficiently cope with the high throughput, reliability, heterogeneity of Quality-of-Service (QoS), and massive connectivity requirements of future multi-antenna wireless networks, multiple access and multiuser communication system design need to depart from the two extreme interference management strategies, namely fully treat interference as noise (as commonly used in 5G, MU-MIMO, CoMP, Massive MIMO, millimetre wave MIMO) and fully decode interference (as in NOMA).
Overview
First Speaker Abstract
Megumi Kaneko, National Institute of Informatics, Japan.
Talk Title: Resource Allocation in NOMA-Based Fog Radio Access Networks.
Fog Radio Access Network (FRAN) and Non-Orthogonal Multiple Access (NOMA) have emerged as promising technologies to meet the diverse and stringent requirements of Beyond 5G (B5G) applications.
In this talk, I will first describe the potential benefits offered by the integration of NOMA in an FRAN architecture for achieving the specific objectives of use cases envisioned in B5G, in terms of throughput, latency, reliability and energy efficiency.
Next, I will present our proposed resource allocation and interference management method for the downlink of a NOMA-based FRAN with multiple resource blocks (RB). This is formulated as a weighted sum-rate maximization problem subject to FRAN-specific local processing and fronthaul capacity constraints, where the goal is to optimize the user-to-RB assignment, the power allocation to each RB, and the power split levels of the NOMA users jointly served in each RB. To solve this intricate mixed integer non-convex optimization problem, we propose a feasible three-step decoupled approach, which relies on the FRAN-specific cloud/edge computation capabilities. In particular, we propose a Multiple Choice Knapsack (MCKP)-based method for solving the assignment problem, followed by an auction algorithm to enforce the FRAN local processing constraint. The power allocation to RBs and the NOMA power split optimization steps are solved using the alternating direction method of multipliers (ADMM). Simulations results illustrate the advantages of the proposed method compared to different baselines, including the conventional Orthogonal Multiple Access (OMA)-based FRAN. Finally, I will conclude the talk by giving some perspectives and future research challenges in order to exploit the opportunities offered by NOMA-based FRAN.
Brief Biography
Megumi Kaneko (S’06, M’08, SM’17) received her Diplôme d'Ingénieur in 2004 from Télécom SudParis (French Grande Ecole), France, jointly with a MSc. degree from Aalborg University, Denmark, where she received her Ph.D. degree in 2007. In May 2017, she obtained her HDR degree (French Doctoral Habilitation for Directing Researches at Professor position) from Paris-Saclay University, France. She was a JSPS post-doctoral fellow at Kyoto University from April 2008 to August 2010. From September 2010 to March 2016, she was an Assistant Professor in the Department of Systems Science, Graduate School of Informatics, Kyoto University. She is currently an Associate Professor at the National Institute of Informatics as well as the Graduate University for Advanced Studies (Sokendai), Tokyo, Japan. Her research interests include wireless communications, Beyond 5G and IoT systems, PHY/MAC design and optimization. She serves as an Editor of IEEE Transactions on Wireless Communications, IEEE Communication Letters and IEICE Transactions on Communications. She received the 2009 Ericsson Young Scientist Award, the IEEE Globecom 2009 Best Paper Award, the 2011 Funai Young Researcher's Award, the WPMC 2011 Best Paper Award, the 2012 Telecom System Technology Award, the 2016 Inamori Foundation Research Grant and the 2019 Young Scientists’ Prize from the Minister of Education, Culture, Sports, Science and Technology of Japan. She is a Senior Member of IEEE.
Second Speaker Abstract
Second Speaker: Bruno Clerckx, Imperial College London, United Kingdom.
Talk Title: Rate-Splitting Multiple Access and its Applications to Cloud-Enabled Platforms.
This talk argues that to efficiently cope with the high throughput, reliability, heterogeneity of Quality-of-Service (QoS), and massive connectivity requirements of future multi-antenna wireless networks, multiple access and multiuser communication system design need to depart from the two extreme interference management strategies, namely fully treat interference as noise (as commonly used in 5G, MU-MIMO, CoMP, Massive MIMO, millimetre wave MIMO) and fully decode interference (as in NOMA). To that end, I will introduce the audience to a novel, general and powerful multiple access framework called Rate-Splitting Multiple Access (RSMA) for multi-antenna networks. RSMA relies on multi-antenna Rate-Splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receivers. RSMA relies on the split of messages and the non-orthogonal transmission of common messages decoded by multiple users, and private messages decoded by their corresponding users. This enables RSMA to partially decode interference and partially treat the remaining interference as noise, and therefore softly bridge and reconcile the two extreme strategies of fully decode interference and treat interference as noise. As a result, RSMA provides a unified and flexible framework for the design and optimization of non-orthogonal transmission, multiple access, and interference management strategies. The talk is organized in two parts, where I will first explain the main principles and benefits of RSMA, and will then show how RSMA can be applied to tackle various challenges in emerging cloud-enabled platforms.
Brief Biography
Speaker’s biography: Bruno Clerckx is Professor of Wireless Communications and Signal Processing, the Head of the Wireless Communications and Signal Processing Lab, and the Deputy Head of the Communications and Signal Processing Group, within the Electrical and Electronic Engineering Department, Imperial College London, U.K. He received the M.Sc. and Ph.D. degrees in Electrical Engineering from Université Catholique de Louvain, Belgium, in 2000 and 2005, respectively. From 2006 to 2011, he was with Samsung Electronics, South Korea, where he actively contributed to 4G (3GPP LTE/LTE-A and IEEE 802.16m) and acted as the Rapporteur for the 3GPP Coordinated Multi-Point (CoMP) Study Item. Since 2011, he has been with Imperial College London, first as a Lecturer from 2011 to 2015, Senior Lecturer from 2015 to 2017, Reader from 2017 to 2020, and now as Professor. From 2014 to 2016, he also was an Associate Professor with Korea University, Seoul, South Korea. He also held several visiting positions at Stanford University, EURECOM, National University of Singapore, The University of Hong Kong, Princeton University, The University of Edinburgh, The University of New South Wales, and Tsinghua University.
He has authored two books, 190 peer-reviewed international research papers, and 150 standards contributions, and is the inventor of 80 issued or pending patents among which 15 have been adopted in the specifications of 4G standards and are used by billions of devices worldwide. His research area is communication theory and signal processing for wireless networks. He has been a TPC member, a symposium chair, or a TPC chair of many symposia on communication theory, signal processing for communication and wireless communication for several leading international IEEE conferences. He was an Elected Member of the IEEE Signal Processing Society SPCOM (Signal Processing for Communications and Networking) Technical Committee. He served as an Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and the IEEE TRANSACTIONS ON SIGNAL PROCESSING. He has also been a (lead) guest editor for special issues of the EURASIP Journal on Wireless Communications and Networking, IEEE ACCESS, the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS and the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. He was an Editor for the 3GPP LTE-Advanced Standard Technical Report on CoMP.