The Analysis of Channel Capacity in Reconfigurable Intelligent Surface-Aided Wireless Communication Systems

This work analyzes the capacity of the Reconfigurable Intelligent Surface (RIS)-aided wireless communication system deploying linear RIS. We propose modeling the cascade channel with a mixed product of random Vandermonde matrices and a random diagonal matrix. A challenging problem that has yet to be addressed is the lack of a concise and accurate expression for the capacity of this channel due to the absence of spectral properties of the Vandermonde matrix. In this paper, we tackle this problem by expressing the capacity as a series expansion and obtaining the exact moment expression of the channel covariance matrix. Simulations indicate that the derived moments provide a good prediction of the true values. The approximate expression for the channel capacity, using finite terms, is simple enough to offer valuable insights and matches the simulation results well.

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Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10826939
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.21
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The Analysis of Channel Capacity in Reconfigurable Intelligent Surface-Aided Wireless Communication Systems

Tiebin Mi, Rujing Xiong, Robert C. Qiu, Zhengyu Wang et al.
1 citations
Advanced Wireless Communication Technologies
0.21
article

The Analysis of Channel Capacity in Reconfigurable Intelligent Surface-Aided Wireless Communication Systems

Tiebin Mi, Rujing Xiong, Robert C. Qiu, Zhengyu Wang, Qi Zhang
article en
1 citations

Abstract

This work analyzes the capacity of the Reconfigurable Intelligent Surface (RIS)-aided wireless communication system deploying linear RIS. We propose modeling the cascade channel with a mixed product of random Vandermonde matrices and a random diagonal matrix. A challenging problem that has yet to be addressed is the lack of a concise and accurate expression for the capacity of this channel due to the absence of spectral properties of the Vandermonde matrix. In this paper, we tackle this problem by expressing the capacity as a series expansion and obtaining the exact moment expression of the channel covariance matrix. Simulations indicate that the derived moments provide a good prediction of the true values. The approximate expression for the channel capacity, using finite terms, is simple enough to offer valuable insights and matches the simulation results well.

Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Advanced Wireless Communication Technologies
0.21
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