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https://hdl.handle.net/2183/49179 Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI
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Pérez-Adán, Darian
Joham, Michael
González-Coma, José P.
Utschick, Wolfgang
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D. Pérez-Adán, M. Joham, Ó. Fresnedo, J. P. González-Coma, W. Utschick and L. Castedo, "Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI," 2024 19th International Symposium on Wireless Communication Systems (ISWCS), Rio de Janeiro, Brazil, 2024, pp. 1-6, doi: 10.1109/ISWCS61526.2024.10639155
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Abstract
[Abstract]: 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.
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Presented at: 19th International Symposium on Wireless Communication Systems (ISWCS 2024), 14-17 July 2024, Rio de Janeiro, Brazil
© 2024 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/ISWCS61526.2024.10639155
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