Investigation on Reliability of Intelligent Transmission based Large Intelligent Meta-surface Assisted Downlink OMA systems

Abstract

Abstract Data transmission through large intelligent meta-surfaces (LIMs) is one of the trending and key enabling technologies for 6G and beyond mobile and wireless communication networks. While the wireless communication emerges, the channel characteristics are highly unpredictable and uncontrollable. But, LIMs can control the phase shift of individual user signals from base station, and thus improves the performance of the wireless communication link. This paper proposes a passive beamforming technique and provides phase optimization which helps to improve the communication quality, and thus improves the reliability of the wireless link. Also, spreading is used to improve the end user’s receiver performance. The error rate and capacity of the proposed system are calculated, and compared with decode and forward (DF) relaying scheme. The performance of LIMs is analysed with two different channel estimation approaches, and for different number of reflecting elements. The simulation is performed under the existing orthogonal multiple access (OMA) scheme, and it evidently shows the superiority of the proposed intelligent signal estimation method.