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Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications.

Authors :
Wei, Li
Huang, Chongwen
Guo, Qinghua
Yang, Zhaohui
Zhang, Zhaoyang
Alexandropoulos, George C.
Debbah, Merouane
Yuen, Chau
Source :
IEEE Transactions on Communications; Jul2022, Vol. 70 Issue 7, p4640-4655, 16p
Publication Year :
2022

Abstract

Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and low-power configuration enables coverage extension, massive connectivity, and low-latency communications. Due to a large number of unknown variables referring to the RIS unit elements and the transmitted signals, channel estimation and signal recovery in RIS-based systems are the ones of the most critical technical challenges. To address this problem, we focus on the RIS-assisted wireless communication system and present two joint channel estimation and signal recovery schemes based on message passing algorithms in this paper. Specifically, the proposed bidirectional scheme applies the Taylor series expansion and Gaussian approximation to simplify the sum-product procedure in the formulated problem. In addition, the inner iteration that adopts two variants of approximate message passing algorithms is incorporated to ensure robustness and convergence. Two ambiguities removal methods are also discussed in this paper. Our simulation results show that the proposed schemes show the superiority over the state-of-art benchmark method. We also provide insights on the impact of different RIS parameter settings on the proposed schemes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00906778
Volume :
70
Issue :
7
Database :
Complementary Index
Journal :
IEEE Transactions on Communications
Publication Type :
Academic Journal
Accession number :
158023028
Full Text :
https://doi.org/10.1109/TCOMM.2022.3179771