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Applying a New Approximation to Demodulation in Massive MIMO Systems

In modern communication systems the problem of synthesizing demodulation algorithms with good noise immunity characteristics and acceptable computational complexity is urgent. The application of the non-Gaussian approximation of a priori distribution of estimated parameters for demodulation in Massive MIMO systems is proposed. The problem of demodulation in multiuser systems can be transformed in task of solving systems of linear and nonlinear equations. A theoretical justification is given for the application of linear and nonlinear solving methods for such task. The results of Monte Carlo simulation are presented, as well as comparison with known demodulation algorithms for MIMO systems, which confirm the effectiveness of the proposed theoretical approach of non-Gaussian approximation for additional consideration of a priori information in multiuser demodulation.