[en] This paper, proposes a preliminary approach to
optimal user-Reconfigurable Intelligent Surfaces (RIS) subset
selection/assignment based on Multi-Armed Bandit (MAB) to
improve the overall communication quality of wireless systems.
Users select optimal RIS subsets based on the observations of
previous selections to maximize the Spectral Efficiency (SE)
based on instantaneous Channel State Information (CSI). The
SE is drawn from Nakagami-m distribution and mean. The
simulation results show that with the adopted approach faster
RIS subset selection/assignment to the users can be achieved.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
Disciplines :
Electrical & electronics engineering
Author, co-author :
ZORKUN, Aral ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
VASQUEZ-PERALVO, Juan Andres ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
VUMMADISETTY, Praveen Naidu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
External co-authors :
no
Language :
English
Title :
RIS Subset Selection/Assignment Based on Multi- Armed Bandit in Multi-RIS-Aided Communications
Publication date :
2024
Event name :
29th International Symposium on Antennas and Propagation (ISAP 2024)
Event organizer :
Songdo Convensia
Event place :
Incheon, South Korea
Event date :
5-8 November 2024
Peer reviewed :
Peer reviewed
European Projects :
HE - 101097101 - TERRAMETA - TERahertz ReconfigurAble METAsurfaces for ultra-high rate wireless communications
