Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems

TL;DR

This paper introduces a low-complexity algorithm for optimizing phase shifts in RIS-assisted MIMO systems, supported by theoretical analysis and simulations, to improve wireless communication performance efficiently.

Contribution

It proposes a novel cosine similarity theorem-based algorithm for RIS phase adaptation and derives the system's ABEP analytically, enhancing efficiency and understanding.

Findings

The proposed algorithm reduces computational complexity.

Theoretical ABEP matches simulation results.

Enhanced performance in RIS-assisted MIMO systems.

Abstract

Reconfigurable intelligent surface (RIS)-based transmission technology offers a promising solution to enhance wireless communication performance cost-effectively through properly adjusting the parameters of a large number of passive reflecting elements. This letter proposes a cosine similarity theorem-based low-complexity algorithm for adapting the phase shifts of an RIS that assists a multiple-input multiple-output (MIMO) transmission system. A semi-analytical probabilistic approach is developed to derive the theoretical average bit error probability (ABEP) of the system. Furthermore, the validity of the theoretical analysis is supported through extensive computer simulations.