[en] Reconfigurable intelligent surface (RIS) has appeared as a revolutionary candidate technology for future sixth-generation (6G) networks, but most works have relied on single-connected reflective RISs, which are mathematically described by diagonal phase shift matrices. In this work, based on the recently presented research on beyond diagonal (BD) RIS unifying different RIS models and architectures towards enhanced advantages such as a greater coverage, we study the impact of channel aging due to user equipment (UE) movement. Especially, we evaluate how channel aging diminishes the system performance of multiple sector BD-RIS systems. Through a robust design, concerning the average sum-rate maximisation problem, we jointly design the BD-matrix and transmit precoder under the channel aging conditions. Numerical results show how channel aging affects performance with respect to fundamental system parameters and shed light on how general aging can be compensated.
Disciplines :
Computer science
Author, co-author :
Papazafeiropoulos, Anastasios ; University of Hertfordshire, Communications and Intelligent Systems Research Group, Hatfield, United Kingdom ; University of Luxembourg, SnT, Luxembourg City, Luxembourg
Kourtessis, Pandelis ; University of Hertfordshire, Communications and Intelligent Systems Research Group, Hatfield, United Kingdom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
yes
Language :
English
Title :
Effect of Channel Aging on beyond Diagonal Reconfigurable Intelligent Surfaces
Publication date :
13 September 2024
Journal title :
IEEE Open Journal of the Communications Society
eISSN :
2644-125X
Publisher :
Institute of Electrical and Electronics Engineers Inc.
University of Hertfordshire's 5-Year Vice Chancellor's Research Fellowship National Research Fund, Luxembourg, through the Project RISOTTI
Funding text :
Engineering Research and Reader in Communica-tion Networks at the University of Hertfordshire, U.K., leading the activities of the Networks Engi-neering Research Group into Communications and Information engineering, including Next Generation Passive Optical Networks, Optical and Wireless MAC Protocols, 5G RANs, Software Defined Network & Network Virtualization 5G and Satellite Networks and more recently Machine Learning for Next Generation Networks. His funding ID includes EU COST, FP7, H2020, European Space Agency (ESA), UKRI and industrially funded projects. He has served as general chair, co-chair, technical programme committee member and at the scientific committees and expert groups of IEEE workshops and conferences, European Technology Platforms and European Networks of Excellence. He has published more than 80 papers at peer-reviewed journals, peer-reviewed conference proceedings and international conferences. His research has received coverage at scientific journals, magazines, white papers and international workshops. He has been co-editor of a Springer book and chapter editor of an IET book on softwarization for 5G.This work was supported in part by the University of Hertfordshire s 5-Year Vice Chancellor s Research Fellowship, and in part by the National Research Fund, Luxembourg, through the Project RISOTTI.
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