Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI

被引：0
|
作者：
Perez-Adan, Darian [1 ,2 ]
Joham, Michael [4 ]
Fresnedo, Oscar [1 ,2 ]
Gonzalez-Coma, Jose P. [3 ]
Utschick, Wolfgang [4 ]
Castedo, Luis [1 ,2 ]
机构：
[1] Univ A Coruna, Dept Comp Engn, La Coruna, Spain
[2] Univ A Coruna, CITIC Res Ctr, La Coruna, Spain
[3] Spanish Naval Acad, Def Univ Ctr, Marin 36920, Spain
[4] Tech Univ Munich, Dept Elect & Comp Engn, Munich, Germany
来源：
2024 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, ISWCS 2024 | 2024年
关键词：
RIS; MIMO; multiuser; WMSE; OFDM; ICSI; BC-MAC duality;
D O I：
10.1109/ISWCS61526.2024.10639155
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This work focuses on the downlink (DL) of a wideband reconfigurable intelligent surface (RIS)aided multiuser (MU) multiple-input multiple-output (MIMO) system. Imperfect channel state information (ICSI) is considered and the statistics of channel estimation errors are leveraged for system design. To maximize the achievable rate, an alternating weighted mean square error (WMSE) minimization strategy is implemented to configure the RIS phase-shift matrix and the precoders/combiners. This approach is based on the broadcast (BC)-multiple access channel (MAC) duality and a projected gradient (PG) algorithm. Simulation results show significant performance gains over baselines and existing approaches.
引用
收藏
页码：632 / 637
页数：6
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