Joint Beamforming for STAR-RIS in Near-Field Communications

Fuente: arXiv
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Auteurs principaux: Haochen, Li, Liu, Yuanwei, Mu, Xidong, Chen, Yue, Zhiwen, Pan
Format: Preprint
Publié: 2024
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author Haochen, Li
Liu, Yuanwei
Mu, Xidong
Chen, Yue
Zhiwen, Pan
author_facet Haochen, Li
Liu, Yuanwei
Mu, Xidong
Chen, Yue
Zhiwen, Pan
contents A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided near-field multiple-input multiple-output (MIMO) communication framework is proposed. A weighted sum rate maximization problem for the joint optimization of the active beamforming at the base station (BS) and the transmission/reflection-coefficients (TRCs) at the STAR-RIS is formulated. The resulting non-convex problem is solved by the developed block coordinate descent (BCD)-based algorithm. Numerical results illustrate that the near-field beamforming for the STAR-RIS aided MIMO communications significantly improve the achieved weighted sum rate.
format Preprint
id arxiv_https___arxiv_org_abs_2412_06817
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Joint Beamforming for STAR-RIS in Near-Field Communications
Haochen, Li
Liu, Yuanwei
Mu, Xidong
Chen, Yue
Zhiwen, Pan
Signal Processing
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided near-field multiple-input multiple-output (MIMO) communication framework is proposed. A weighted sum rate maximization problem for the joint optimization of the active beamforming at the base station (BS) and the transmission/reflection-coefficients (TRCs) at the STAR-RIS is formulated. The resulting non-convex problem is solved by the developed block coordinate descent (BCD)-based algorithm. Numerical results illustrate that the near-field beamforming for the STAR-RIS aided MIMO communications significantly improve the achieved weighted sum rate.
title Joint Beamforming for STAR-RIS in Near-Field Communications
topic Signal Processing
url https://arxiv.org/abs/2412.06817