FAS-RIS: A Block-Correlation Model Analysis

Fuente: arXiv
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Main Authors: Lai, Xiazhi, Yao, Junteng, Zhi, Kangda, Wu, Tuo, Morales-Jimenez, David, Wong, Kai-Kit
Format: Preprint
Published: 2024
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author Lai, Xiazhi
Yao, Junteng
Zhi, Kangda
Wu, Tuo
Morales-Jimenez, David
Wong, Kai-Kit
author_facet Lai, Xiazhi
Yao, Junteng
Zhi, Kangda
Wu, Tuo
Morales-Jimenez, David
Wong, Kai-Kit
contents In this correspondence, we analyze the performance of a reconfigurable intelligent surface (RIS)-aided communication system that involves a fluid antenna system (FAS)-enabled receiver. By applying the central limit theorem (CLT), we derive approximate expressions for the system outage probability when the RIS has a large number of elements. Also, we adopt the block-correlation channel model to simplify the outage probability expressions, reducing the computational complexity and shedding light on the impact of the number of ports. Numerical results validate the effectiveness of our analysis, especially in scenarios with a large number of RIS elements.
format Preprint
id arxiv_https___arxiv_org_abs_2408_13444
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle FAS-RIS: A Block-Correlation Model Analysis
Lai, Xiazhi
Yao, Junteng
Zhi, Kangda
Wu, Tuo
Morales-Jimenez, David
Wong, Kai-Kit
Signal Processing
In this correspondence, we analyze the performance of a reconfigurable intelligent surface (RIS)-aided communication system that involves a fluid antenna system (FAS)-enabled receiver. By applying the central limit theorem (CLT), we derive approximate expressions for the system outage probability when the RIS has a large number of elements. Also, we adopt the block-correlation channel model to simplify the outage probability expressions, reducing the computational complexity and shedding light on the impact of the number of ports. Numerical results validate the effectiveness of our analysis, especially in scenarios with a large number of RIS elements.
title FAS-RIS: A Block-Correlation Model Analysis
topic Signal Processing
url https://arxiv.org/abs/2408.13444