Distributed Scheduling Algorithm for Multiuser MIMO Downlink with Adaptive Feedback

Abstract

We propose a distributed scheduling algorithm for multiuser MIMO downlink with adaptive feedback. In this algorithm each mobile station (MS) selects transmission scheme, including beamforming (BF) and spatial multiplexing (SM) according to its channel state and then feeds back channel state information (CSI) adaptively. The base station (BS) receives CSI from each MS and selects user subset based on minimum spatial correlation criteria or system capacity maximization. The proposed user scheduling algorithm is carried out by MSs and BS corporately. The system feedback load depends on each MS’s channel state. Compared with existing schemes the proposed algorithm can achieve high system capacity as well as good BER performance.