User-grouping based resource allocation in downlink MU-MIMO systems with proportional fairness

摘要

User-grouping can significantly reduce the complexity of resource allocation when a base station (BS) serves a multiplicity of users. In this paper, we investigate the resource allocation problem in a multiuser multiple-input multiple-output (MU-MIMO) system with zero-forcing (ZF) precoding and propose a suboptimal algorithm to solve it. We first calculate the priorities of all active users according to proportional fairness (PF). Then the user with the highest priority is selected, and its corresponding resource block (RB) is decided. Further, other users allocated to the above RB are selected by our proposed user-grouping strategy based on the channel state information (CSI) and spatial correlation. Simulation results show that our new scheme can achieve a good balance between the sum data rate and fairness of users.