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Statistically Robust Transceiver Design for Multi-RIS Assisted Multi-user MIMO Systems
Xu, Kaizhe1; Gong, Shiqi1; Cui, Miao2; Zhang, Guangchi2; Ma, Shaodan1
2022-06
Source PublicationIEEE Communications Letters
ISSN1089-7798
Volume26Issue:6Pages:1428-1432
Abstract

In this letter, we investigate the robust transceiver design for a downlink multi-user multiple-input multiple-output (MIMO) system assisted by multiple reconfigurable intelligent surfaces (RISs), where the base station (BS) and multiple users are all equipped with multiple antennas. Different from most previous RIS related works focusing on worst-case performance optimization, which may lead to overly conservative transceiver designs, we assume stochastic channel estimation errors for the considered system, and aim to minimize the average sum mean square error (MSE) of the considered system by jointly optimizing the transmit precoders, the receive equalizers, and the RIS reflecting coefficients. To address the non-convexity of the formulated problem induced by strongly coupled optimization variables, we develop a low-complexity alternating optimization (AO) algorithm to find a locally optimal solution, where the unique optimal solution to each subproblem can be derived in closed-form. Numerical simulations demonstrate the robustness and excellent average sum MSE performance of the proposed AO algorithm compared to the adopted benchmark scheme.

KeywordAlternating Optimization Channel Statistics Multiple-input Multiple-output Reconfigurable Intelligent Surface
DOI10.1109/LCOMM.2022.3157127
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaTelecommunications
WOS SubjectTelecommunications
WOS IDWOS:000809396900049
Scopus ID2-s2.0-85128494954
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorMa, Shaodan
Affiliation1.State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering, University of Macau, Macao SAR, China.
2.School of Information Engineering, Guangdong University of Technology, Guangzhou, China.
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xu, Kaizhe,Gong, Shiqi,Cui, Miao,et al. Statistically Robust Transceiver Design for Multi-RIS Assisted Multi-user MIMO Systems[J]. IEEE Communications Letters,2022,26(6):1428-1432.
APA Xu, Kaizhe,Gong, Shiqi,Cui, Miao,Zhang, Guangchi,&Ma, Shaodan.(2022).Statistically Robust Transceiver Design for Multi-RIS Assisted Multi-user MIMO Systems.IEEE Communications Letters,26(6),1428-1432.
MLA Xu, Kaizhe,et al."Statistically Robust Transceiver Design for Multi-RIS Assisted Multi-user MIMO Systems".IEEE Communications Letters 26.6(2022):1428-1432.
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