Comparación de dos algoritmos de generación de haces adaptativos para MIMO masivo con Matlab

Abstract

This paper reports the comparison between LMS and RLS adaptive beamforming algorithms for massive MIMO with Matlab. To determine the most efficient algorithm in a wireless communication, the parameters, radiation pattern, learning curve and bit error rate (BER) are evaluated in a system of 100 antennas in the transmitter and 1 in the receiver with 16 QAM modulation. As a result, the LMS algorithm is dependent on its step size µ and needs a high number of iterations to converge, while the RLS algorithm is fast converging, but requires higher computational cost, in short, the RLS algorithm outperforms the LMS algorithm.