Channel Estimation and Signal Detection for Massive MIMO under 5G Communication

Abstract

In this article, the space-time transmit technique (STTT) is examined in a massive MIMO environment with Rayleigh fading. The article characterizes the instantaneous signal-to-noise ratio (SNR) for statistical analysis after channel estimation. Singular value decomposition (SVD) is used to get SNR. It provides a closed-form expression for the moment-generating function (MGF) and uses the incomplete moment-generating function (IMGF) to construct the moment's closed-form expression. Key concepts in the fundamentals of communication theory, such as the probability density function (PDF) and cumulative distribution function (CDF), are explored. PDF and CDF plots are obtained for a range of degrees of freedom. Simulation results show that as the degree of freedom increases, a properly normalized sum of the channel information tends toward a normal distribution in STTT which follows central limit theorem.