Enhanced User clustering Optimization Based on HBF for mmWave Massive MIMO Systems

This paper deeply explores about the millimeter-wave massive MIMO (mmWavemMIMO) and inter user interference which develops a key factor for preventive system capacity. The idea of increasing system capacity by grouping algorithm is to reduce inter group interference by assuring high receiving power. As a result of this circumstance, this paper proposes the strong user dependent (SUD). We divide users into groups based on their correlation threshold and channel correlation. Users with a high level of correlation form a group. To maximize capacity, the low-dimensional exhaustive technique is utilized on each group to select the BS (base station) beamforming vector. Furthermore, a greedy approach is used, which takesinto account the influence of the earlier groups’ beamforming vectors. Simulation results display the system sum rate as the strong user dependent algorithm as complex than that of the existing grouping optimization HBF algorithm.