Signal-to-Interference-Noise Ratio (SINR) and Signal-to-Noise Ratio (SNR) Improvement in the Massive Multiple-Input Multiple-Output (MIMO) Systems

Millimeter-wave wireless communications concepts have been considered as a key technology for future 5G communication systems. Analog or digital hybrid precoders and combiners architectures have been used to reduce the propagation loss in the MIMO systems. The combiner or receive combiner bank (RCB) of the massive MIMO systems used to regenerate the transmitted symbols or signals through the different types of optimizations techniques and algorithms. This paper presents the updated model of the massive MIMO receiver system to enhance the SINR and SNR of the traditional massive MIMO systems. The updated receiver system has least-mean-square (LMS) adaptive filters to cancel the additive white Gaussian noise (AWGN) to improve the SINR and SNR of the massive MIMO system.