Progressive refinement of beamforming vectors for high-resolution limited feedback
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Field experiments on open-loop precoding MIMO using testbed targeted at IMT-advanced system
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
DFT structured codebook design with finite alphabet for high speed wireless communications
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Performance analysis of RVQ-based limited feedback beamforming codebooks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
On channel quantization and feedback strategies for multiuser MIMO-OFDM downlink systems
IEEE Transactions on Communications
Limited feedback open loop precoding in the downlink relay multiuser MIMO system
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Adaptive codebook selection for limited feedback MIMO beamforming systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Grassmannian predictive coding for delayed limited feedback MIMO systems
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Two-tx precoding codebooks for variable spatial correlation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
On distributed antenna systems with limited feedback precoding: opportunities and challenges
IEEE Wireless Communications
Codebook-based quantized MIMO feedback for closed-loop transmit precoding
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Why does the Kronecker model result in misleading capacity estimates?
IEEE Transactions on Information Theory
Limited feedback beamforming systems for dual-polarized MIMO channels
IEEE Transactions on Wireless Communications
Performance bound on ergodic capacity of MIMO beam-forming in indoor multi-path channels
IEEE Transactions on Communications
Decentralized limited-feedback multiuser MIMO for temporally correlated channels
Journal of Electrical and Computer Engineering
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The full diversity gain provided by a multi-antenna channel can be achieved by transmit beamforming and receive combining. This requires the knowledge of channel state information (CSI) at the transmitter which is difficult to obtain in practice. Quantized beamforming where fixed codebooks known at both the transmitter and the receiver are used to quantize the CSI has been proposed to solve this problem. Most recent works focus attention on limited feedback codebook design for the uncorrelated Rayleigh fading channel. Such designs are sub-optimal when used in correlated channels. In this paper, we propose systematic codebook design for correlated channels when channel statistical information is known at the transmitter. This design is motivated by studying the performance of pure statistical beamforming in correlated channels and is implemented by maps that can rotate and scale spherical caps on the Grassmannian manifold. Based on this study, we show that even statistical beamforming is near-optimal if the transmitter covariance matrix is ill-conditioned and receiver covariance matrix is well-conditioned. This leads to a partitioning of the transmit and receive covariance spaces based on their conditioning with variable feedback requirements to achieve an operational performance level in the different partitions. When channel statistics are difficult to obtain at the transmitter, we propose a universal codebook design (also implemented by the rotation-scaling maps) that is robust to channel statistics. Numerical studies show that even few bits of feedback, when applied with our designs, lead to near perfect CSI performance in a variety of correlated channel conditions.