Minimum Mean Square Error Algorithm for Improving Spectral Efficiency by Reducing Power Consumption of Beamforming in 5G Networks

Abstract

This research is guided to evaluate and determine various beneficial roles and substantial contributions of the Minimum mean square error (MMSE) algorithm in providing less power consumption and significant energy and spectral efficiencies for a larger number of users and massive data transfer capacity. A comparative analysis was led with the help of MATLAB simulations and numerical analysis to validate the relevances of the MMSE algorithm compared with ZF Hybrid, Kalman, MSE Fully Digital, and Analog-only precoding algorithms. Spectral efficiency was compared for all those five algorithms under a Signal-to-Noise Ratio range of 0 to 30 dB. According to the MATLAB numerical analysis and simulations, the results revealed that the spectral efficiency of the MMSE algorithm outpaced that of the other four algorithms considering analog and digital precoding schemes. For this reason, it can be concluded that the MMSE can be actively adopted and used for a large number of users without consuming considerable power or generating significant emissions.