Reconfigurable Intelligent Surface-Assisted Channel Estimation for Indoor mmWave Communication Systems

Abstract

This paper presents the reconfigurable intelligent surface-assisted channel estimation for indoor millimeter wave communication systems to increase the coverage and the channel performance. In the conventional wireless systems, beamforming cannot lead the accurate channel state information due to the unwanted obstacles. Hence, we propose a RIS-assisted channel estimation scheme to improve the quality of the transmission channel. To achieve a good normalized mean square error (NMSE) performance, we consider an orthogonal matching pursuit (OMP)-based channel estimation algorithm in this paper. The effectiveness of the proposed RIS-assisted OMP algorithms outperform the conventional RIS-assisted algorithms and are verified in terms of the NMSE performance through computer simulation.