FAS-RIS: A Block-Correlation Model Analysis

TL;DR

This paper analyzes the performance of a RIS-aided communication system with a fluid antenna receiver, deriving approximate outage probability expressions using CLT and block-correlation models, validated by numerical results.

Contribution

It introduces a simplified analytical framework for RIS systems with fluid antennas, focusing on large RIS element counts and block-correlation channel modeling.

Findings

Approximate outage probability expressions derived for large RIS arrays.

Block-correlation model reduces computational complexity.

Numerical results confirm analysis accuracy in large RIS scenarios.

Abstract

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.