Intelligent Reflecting Surfaces in Massive MIMO Systems

Abstract

To improve wireless communications performance, this study focuses on integrating intelligent reflective surfaces (IRS) into massive MIMO systems. IRSs are emerging as a promising solution for managing the wireless propagation environment, given the increasing demands for high data rates, energy efficiency, and reliable connectivity in networks ranging from 4G to 6G. The main objective of this work is to evaluate the effectiveness of IRSs in improving the performance of massive MIMO systems by increasing spectral efficiency, reducing interference, and improving signal quality. Simulation results show that systems incorporating IRSs significantly outperform conventional MIMO and relay-based systems, particularly in non-line-of-sight (NLOS) scenarios. Algorithms such as DS-OMP offer efficient methods for channel estimation. The adoption of advanced technologies such as IRSs is essential to meet the future demands of wireless communications.