BER Analysis of Massive MIMO Systems Under Correlated Rayleigh Fading Channel

Abstract

In massive Multiple Input Multiple Output (MIMO) systems, spatial correlation is one of the factors, which significantly affects the bit error rate (BER) performance. Therefore, in this paper, linear detection is employed with different decomposition techniques to improve the performance. It is observed that there is 10 dB degradation in channel gain for 10% increment in correlation coefficient. At a BER of 10 ^-3 , with Zero Forcing (ZF) using Singular Value Decomposition (SVD), the channel gain is doubled by doubling the order of the MIMO system when compared to Cholesky and QR decomposition. Further, the BER remains unchanged for Minimum Mean Square Error (MMSE) detection irrespective of the type of decomposition techniques used. However, it is also observed that for 32 ×32 MIMO system, at a BER of 10-3, MMSE provides nearly 10 dB to 15 dB channel gain when compared to ZF.