Performance analysis of a MU-MIMO system with limited feedback and user selection

This paper proposes a novel user selection algorithm to enhance the system performance of a multi-user, multiple-input, multiple-output (MU-MIMO) system. The proposed algorithm first selects a primary user set using a predetermined threshold, and selects sub-users for each primary user to define user groups that maximize the determinant of the channel matrix consisting of selected user(s) and a candidate user. The user group that provides the maximum sum rate is then determined. According to computer simulation results, the proposed algorithm improves the system sum rate, compared to the conventional algorithm, by approximately 0.5bps/Hz.