Beam Selection for RIS-Aided Uplink mmWave MU-MIMO Systems

Conventional multi-antenna millimeter wave (mmWave) systems suffer from high hardware costs, high power consumption, and vulnerability to signal blockage. To address these issues, this letter investigates a reconfigurable intelligent surface (RIS)-aided mmWave multiuser multiple-input multiple-output (MU-MIMO) system incorporating beam selection, aiming to maximize the uplink sum-rate. An efficient algorithm based on the block coordinate descent (BCD) and weighted minimum mean square error (WMMSE) framework is proposed to jointly optimize the active beamforming at user terminals (UTs), the passive beamforming at the RIS, and the beam selection matrix at the base station (BS). Numerical results demonstrate that the proposed algorithm significantly outperforms existing baselines in sum-rate performance.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-09-04
DOI
https://doi.org/10.1109/lcomm.2025.3605925
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Beam Selection for RIS-Aided Uplink mmWave MU-MIMO Systems

Hongwen Yang, Hao Xu, Yunan Sun, Jiayi Li
1 citations
IEEE Communications Letters
Advanced MIMO Systems Optimization
0.73
article

Beam Selection for RIS-Aided Uplink mmWave MU-MIMO Systems

Hongwen Yang, Hao Xu, Yunan Sun, Jiayi Li
article en
1 citations

Abstract

Conventional multi-antenna millimeter wave (mmWave) systems suffer from high hardware costs, high power consumption, and vulnerability to signal blockage. To address these issues, this letter investigates a reconfigurable intelligent surface (RIS)-aided mmWave multiuser multiple-input multiple-output (MU-MIMO) system incorporating beam selection, aiming to maximize the uplink sum-rate. An efficient algorithm based on the block coordinate descent (BCD) and weighted minimum mean square error (WMMSE) framework is proposed to jointly optimize the active beamforming at user terminals (UTs), the passive beamforming at the RIS, and the beam selection matrix at the base station (BS). Numerical results demonstrate that the proposed algorithm significantly outperforms existing baselines in sum-rate performance.

IEEE Communications LettersVol. 29(11)
Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 24%
Advanced MIMO Systems Optimization
0.73
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