Some Notes on Alternating Optimization
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
EURASIP Journal on Advances in Signal Processing
Channel Adaptive Quantization for Limited Feedback MIMO Beamforming Systems
IEEE Transactions on Signal Processing
A joint-channel diagonalization for multiuser MIMO antenna systems
IEEE Transactions on Wireless Communications
Efficient feedback methods for MIMO channels based on parameterization
IEEE Transactions on Wireless Communications
Generalized Design of Multi-User MIMO Precoding Matrices
IEEE Transactions on Wireless Communications
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels
IEEE Journal on Selected Areas in Communications
Limited feedback-based block diagonalization for the MIMO broadcast channel
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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This paper proposes a novel multiuser (MU) multiplexing scheme for temporally correlated multiple-input, multiple-output (MIMO) channels, suitable for systems employing low-rate feedback links. A decentralized solution is obtained by the mobile receivers, which employ interference rejection combiner (IRC) linear filters and command the update of the corresponding per-user antenna transmit weights through compact feedback messages, thus avoiding explicit transmission of channel information. The proposed limited-feedback algorithm outperforms existing MU-MIMO solutions employing quantized matrices, operating at the same feedback overhead. A compensation mechanism is presented, which enables the proposed solution to operate under moderate probabilities of feedback errors, at the expense of a small downlink overhead.