Joint Transceiver and Passive Beamforming Optimization for RIS-Assisted MIMO Systems

• Published in: International Conference on Wireless Communications and Signal Processing pp. 1 - 5
• Main Authors: Zhao, Yaqiong, Xu, Wei, Huang, Yongming, You, Xiaohu, Ng, Derrick Wing Kwan, Lu, Zhaohua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.10.2021
• Subjects: alternating optimization; Array signal processing; Filtering algorithms; multiple-input multiple-output (MIMO); Reconfigurable intelligent surface (RIS); Reconfigurable intelligent surfaces; Signal processing algorithms; Simulation; System performance; weighted minimum mean square error (WMMSE); Wireless communication
• ISSN: 2472-7628
• DOI: 10.1109/WCSP52459.2021.9613174

This paper investigates the transceiver and beamforming design for a reconfigurable intelligent surface (RIS)-assisted multiple-antenna communication system. We aim to minimize the weighted mean-squared error of the received data by jointly optimizing the precoder, the passive RIS beamforming, and the receiving filter of the system, subject to a transmit power constraint and unit-modulus constraints imposed on the RIS reflection coefficients. In order to tackle the nonconvexity of this design problem, we propose a computationally-efficient algorithm based on alternating optimization, where the solutions to the precoder, the RIS beamforming, and the receiving filter are derived in semi-closed forms and closed-form, respectively. The convergence of the proposed algorithm is theoretically proved. Numerical results validate the performance superiority of the proposed algorithm over various existing benchmark schemes.