Ergodic capacity analysis of reconfigurable intelligent surface assisted wireless systems

TL;DR

This paper develops an analytical framework to evaluate the ergodic capacity of RIS-assisted wireless systems, including high-SNR and high-RU approximations, validated by simulations.

Contribution

It introduces a novel analytical approach for ergodic capacity analysis of RIS systems, including special cases with a single reflection unit.

Findings

The framework accurately predicts ergodic capacity across scenarios.

High-SNR and high-RU approximations simplify capacity evaluation.

Simulation results confirm the framework's validity.

Abstract

This paper presents the analytic framework for evaluating the ergodic capacity (EC) of the reconfigurable intelligent surface (RIS) assisted systems. Moreover, high-signal-to-noise-ratio and high-number of reflection units (RUs) approximations for the EC are provided. Finally, the special case in which the RIS is equipped with a single RU is investigated. Our analysis is verified through respective Monte Carlo simulations, which highlight the accuracy of the proposed framework.