Rank Optimization for MIMO Channel with RIS: Simulation and Measurement

Fuente: arXiv
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Autores principales: Meng, Shengguo, Tang, Wankai, Chen, Weicong, Lan, Jifeng, Zhou, Qun Yan, Han, Yu, Li, Xiao, Jin, Shi
Formato: Preprint
Publicado: 2023
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author Meng, Shengguo
Tang, Wankai
Chen, Weicong
Lan, Jifeng
Zhou, Qun Yan
Han, Yu
Li, Xiao
Jin, Shi
author_facet Meng, Shengguo
Tang, Wankai
Chen, Weicong
Lan, Jifeng
Zhou, Qun Yan
Han, Yu
Li, Xiao
Jin, Shi
contents Reconfigurable intelligent surface (RIS) is a promising technology that can reshape the electromagnetic environment in wireless networks, offering various possibilities for enhancing wireless channels. Motivated by this, we investigate the channel optimization for multiple-input multiple-output (MIMO) systems assisted by RIS. In this paper, an efficient RIS optimization method is proposed to enhance the effective rank of the MIMO channel for achievable rate improvement. Numerical results are presented to verify the effectiveness of RIS in improving MIMO channels. Additionally, we construct a 2$\times$2 RIS-assisted MIMO prototype to perform experimental measurements and validate the performance of our proposed algorithm. The results reveal a significant increase in effective rank and achievable rate for the RIS-assisted MIMO channel compared to the MIMO channel without RIS.
format Preprint
id arxiv_https___arxiv_org_abs_2307_13237
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Rank Optimization for MIMO Channel with RIS: Simulation and Measurement
Meng, Shengguo
Tang, Wankai
Chen, Weicong
Lan, Jifeng
Zhou, Qun Yan
Han, Yu
Li, Xiao
Jin, Shi
Information Theory
Signal Processing
Reconfigurable intelligent surface (RIS) is a promising technology that can reshape the electromagnetic environment in wireless networks, offering various possibilities for enhancing wireless channels. Motivated by this, we investigate the channel optimization for multiple-input multiple-output (MIMO) systems assisted by RIS. In this paper, an efficient RIS optimization method is proposed to enhance the effective rank of the MIMO channel for achievable rate improvement. Numerical results are presented to verify the effectiveness of RIS in improving MIMO channels. Additionally, we construct a 2$\times$2 RIS-assisted MIMO prototype to perform experimental measurements and validate the performance of our proposed algorithm. The results reveal a significant increase in effective rank and achievable rate for the RIS-assisted MIMO channel compared to the MIMO channel without RIS.
title Rank Optimization for MIMO Channel with RIS: Simulation and Measurement
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2307.13237