On Massive MIMO System Convergence: Analysis Using Geometry-Based Stochastic Model

Abstract

In this paper, three-dimensional massive multi-input multi-output (MIMO) system convergence is analyzed using a geometry-based stochastic channel model. The concept of Maximum Distributive Power is introduced to examine the performance of massive MIMO regarding the Gaussian and the Arbitrary Q-power Cosine distributions of arrival. Verification is accomplished with the help of computer simulation where excellent agreement is found between theoretical and simulation results. We present results to show that higher Q-power values of the Arbitrary Q-power Cosine distribution creates mismatch between the simulated and theoretical correlation coefficients unlike the Gaussian distribution. The practical relevance is that, careful selection of higher Q-power values for 3D massive MIMO channel planning is vital to enhance massive MIMO Convergence. This is demonstrated in the convergence outcomes where higher Q-power values deteriorates the convergence to massive MIMO favorable propagation as the transmit antenna increases. Finally, experimental outcomes illustrate that it requires antenna separation of more than half wavelength to enhance convergence rates at higher Q-power values.