Multiuser MIMO Downlink Beamforming Design Based on Group Maximum SINR Filtering

摘要

In this paper we aim to solve the multiuser multi-input multi-output (MIMO)downlink beamforming problem where one multi-antenna base station broadcastsdata to many users. Each user is assigned multiple data streams and hasmultiple antennas at its receiver. Efficient solutions to the jointtransmit-receive beamforming and power allocation problem based on iterativemethods are proposed. We adopt the group maximumsignal-to-interference-plus-noise-ratio (SINR) filter bank (GSINR-FB) as ourbeamformer which exploits receiver diversity through cooperation between thedata streams of a user. The data streams for each user are subject to anaverage SINR constraint, which has many important applications in wirelesscommunication systems and serves as a good metric to measure the quality ofservice (QoS). The GSINR-FB also optimizes the average SINR of its output.Based on the GSINR-FB beamformer, we find an SINR balancing structure foroptimal power allocation which simplifies the complicated power allocationproblem to a linear one. Simulation results verify the superiority of theproposed algorithms over previous works with approximately the same complexity.