Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures

Fuente: arXiv
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Autori principali: Li, Hongyu, Zhang, Yumeng, Clerckx, Bruno
Natura: Preprint
Pubblicazione: 2023
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author Li, Hongyu
Zhang, Yumeng
Clerckx, Bruno
author_facet Li, Hongyu
Zhang, Yumeng
Clerckx, Bruno
contents We study channel estimation for a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided multiple input single output system. We first describe the channel estimation strategy based on the least square (LS) method, derive the mean square error (MSE) of the LS estimator, and formulate the BD-RIS design problem that minimizes the estimation MSE with unique constraints induced by group-connected architectures of BD-RIS. Then, we propose an efficient BD-RIS design which theoretically guarantees to achieve the MSE lower bound. Finally, we provide simulation results to verify the effectiveness of the proposed channel estimation scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2307_06129
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures
Li, Hongyu
Zhang, Yumeng
Clerckx, Bruno
Signal Processing
Information Theory
We study channel estimation for a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided multiple input single output system. We first describe the channel estimation strategy based on the least square (LS) method, derive the mean square error (MSE) of the LS estimator, and formulate the BD-RIS design problem that minimizes the estimation MSE with unique constraints induced by group-connected architectures of BD-RIS. Then, we propose an efficient BD-RIS design which theoretically guarantees to achieve the MSE lower bound. Finally, we provide simulation results to verify the effectiveness of the proposed channel estimation scheme.
title Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2307.06129