Probability of Error Minimization Techniques in Downlink Massive MIMO Systems

Abstract

The primarily goal of future wireless communication systems is to device connections with optimal throughput with minimized latency and enhanced reliability at minimum cost. One of the most important technologies for attaining this goal is massive MIMO (mMIMO). Installing a number of antennas on a single Base Station together with channel coding which is achieved by redundant bits provides reliable communication compared to the classical MIMO in which only limited number of antennas are employed. This paper analyzes the performance of coded and uncoded channel with the effect of M. Furthermore, polar and Low-Density Parity Check Code (LDPC) coding schemes are evaluated and compared with the uncoded channel condition at different number of BS antennas. We have also assessed the performance of massive MIMO at perfect and imperfect channel conditions with different constellation orders. The simulation results show that channel coded data in a perfect channel outperforms the uncoded one and as the number of antennas grows, the bit error rate (BER) is reduced.