English

Rank Optimization for MIMO Channel with RIS: Simulation and Measurement

Information Theory 2024-09-02 v2 Signal Processing math.IT

Abstract

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×\times2 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.

Keywords

Cite

@article{arxiv.2307.13237,
  title  = {Rank Optimization for MIMO Channel with RIS: Simulation and Measurement},
  author = {Shengguo Meng and Wankai Tang and Weicong Chen and Jifeng Lan and Qun Yan Zhou and Yu Han and Xiao Li and Shi Jin},
  journal= {arXiv preprint arXiv:2307.13237},
  year   = {2024}
}

Comments

This work has been accepted by IEEE WCL

R2 v1 2026-06-28T11:39:18.096Z