Optimal Multi-User Interference Balancing Using Transmit Beamforming
Wireless Personal Communications: An International Journal
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
On the duality of Gaussian multiple-access and broadcast channels
IEEE Transactions on Information Theory
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
IEEE Transactions on Information Theory
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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We propose an algorithm which iteratively computes the transmit-receive beamforming filters and the power allocation matrix to solve the multiuser multi-input multi-output (MIMO) downlink beamforming problem under signal-to-interference-plus-noise-ratio (SINR) constraints. The transmitter is a multi-antenna base-station broadcasting to users. Each user has multiple antennas at the receiver. The beamforming filter is a group maximum SINR filter which exploits intra-group cooperation, and the power allocated to each data stream is adjusted to enhance performance. Simulation results verify the superiority of the proposed algorithm over previous works.