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Enhanced 5G Mobile Broadcasting Service With Shape-Adaptive RIS.

Authors :
Qi, Fei
Liu, Qiang
Li, Wenjing
Yu, Peng
Qiu, Xuesong
Source :
IEEE Transactions on Broadcasting. Sep2022, Vol. 68 Issue 3, p704-711. 8p.
Publication Year :
2022

Abstract

There emerges a strong trend recently to create an intelligent and controllable wireless transmission environment by installing reconfigurable intelligent surfaces (RIS) on the surface of diverse. We research the use of RIS in 5G multicast TV applications in this paper. In particular, the shape-adaptive RIS is developed to relay 5G multicast TV signals and achieve extra RIS gain. To optimize the shape bending in RIS model, we employ the algorithm of Deep Deterministic Policy Gradient (DDPG), a reinforcement learning technique that combines both Q-learning and Policy gradients. Our simulation results show that RIS can considerably enhance the SINR of worst users and improve the system’s overall Modulation and Coding Scheme (MCS) level for 5G mobile broadcasting services. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189316
Volume :
68
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Broadcasting
Publication Type :
Academic Journal
Accession number :
158914477
Full Text :
https://doi.org/10.1109/TBC.2022.3152053