학술논문
Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems
Document Type
Periodical
Author
Source
IEEE Wireless Communications Letters IEEE Wireless Commun. Lett. Wireless Communications Letters, IEEE. 13(4):1118-1122 Apr, 2024
Subject
Language
ISSN
2162-2337
2162-2345
2162-2345
Abstract
This letter considers a millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) transceiver system assisted by a reconfigurable intelligent surface (RIS). The goal is to jointly design transceiver hybrid beamforming and RIS phase shifts to maximize spectral efficiency (SE). We adapt the weighted minimum mean square error manifold optimization (WMMSE-MO) algorithm to the RIS-assisted system, and further deep-unfold it with neural networks to alleviate the algorithm’s computational complexity and expedite its convergence. The proposed deep-unfolded WMMSE-MO algorithm demonstrates superior SE performance, convergence speed, and computational efficiency compared to both its counterpart without deep unfolding and previous methods.