Environment-Aware Codebook for RIS-Assisted MU-MISO Communications: Implementation and Performance Analysis

Fuente: arXiv
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Auteurs principaux: Yu, Zhiheng, An, Jiancheng, Gan, Lu, Yuen, Chau
Format: Preprint
Publié: 2024
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author Yu, Zhiheng
An, Jiancheng
Gan, Lu
Yuen, Chau
author_facet Yu, Zhiheng
An, Jiancheng
Gan, Lu
Yuen, Chau
contents Reconfigurable intelligent surface (RIS) provides a new electromagnetic response control solution, which can reshape the characteristics of wireless channels. In this paper, we propose a novel environment-aware codebook protocol for RIS-assisted multi-user multiple-input single-output (MU-MISO) systems. Specifically, we first introduce a channel training protocol which consists of off-line and on-line stages. Secondly, we propose an environment-aware codebook generation scheme, which utilizes the statistical channel state information and alternating optimization method to generate codewords offline. Then, in the on-line stage, we use these pre-designed codewords to configure the RIS, and the optimal codeword resulting in the highest sum rate is adopted for assisting in the downlink data transmission. Thirdly, we analyze the theoretical performance of the proposed protocol considering the channel estimation errors. Finally, numerical simulations are provided to verify our theoretical analysis and the performance of the proposed scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2404_00265
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Environment-Aware Codebook for RIS-Assisted MU-MISO Communications: Implementation and Performance Analysis
Yu, Zhiheng
An, Jiancheng
Gan, Lu
Yuen, Chau
Information Theory
Signal Processing
Reconfigurable intelligent surface (RIS) provides a new electromagnetic response control solution, which can reshape the characteristics of wireless channels. In this paper, we propose a novel environment-aware codebook protocol for RIS-assisted multi-user multiple-input single-output (MU-MISO) systems. Specifically, we first introduce a channel training protocol which consists of off-line and on-line stages. Secondly, we propose an environment-aware codebook generation scheme, which utilizes the statistical channel state information and alternating optimization method to generate codewords offline. Then, in the on-line stage, we use these pre-designed codewords to configure the RIS, and the optimal codeword resulting in the highest sum rate is adopted for assisting in the downlink data transmission. Thirdly, we analyze the theoretical performance of the proposed protocol considering the channel estimation errors. Finally, numerical simulations are provided to verify our theoretical analysis and the performance of the proposed scheme.
title Environment-Aware Codebook for RIS-Assisted MU-MISO Communications: Implementation and Performance Analysis
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2404.00265