Vector quantization and signal compression
Vector quantization and signal compression
Microwave Mobile Communications
Microwave Mobile Communications
Information Theory and Reliable Communication
Information Theory and Reliable Communication
Wireless Communications
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Limited feedback unitary precoding for orthogonal space-time block codes
IEEE Transactions on Signal Processing
Quantization on the Grassmann Manifold
IEEE Transactions on Signal Processing
Interpolation Based Unitary Precoding for Spatial Multiplexing MIMO-OFDM With Limited Feedback
IEEE Transactions on Signal Processing
Efficient feedback methods for MIMO channels based on parameterization
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
MAP symbol decoding in channels with error bursts
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Achieving the Welch bound with difference sets
IEEE Transactions on Information Theory
Limited feedback unitary precoding for spatial multiplexing systems
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Feedback assisted transmission subspace tracking for MIMO systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
EURASIP Journal on Advances in Signal Processing
Geodesic prediction for limited feedback multiuser MIMO systems in temporally correlated channels
RWS'09 Proceedings of the 4th international conference on Radio and wireless symposium
On the trade-off between feedback and capacity in measured MU-MIMO channels
IEEE Transactions on Wireless Communications
Grassmannian predictive coding for delayed limited feedback MIMO systems
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Event-driven optimal feedback control for multiantenna beamforming
IEEE Transactions on Signal Processing
Limited feedback for temporally correlated MIMO channels with other cell interference
IEEE Transactions on Signal Processing
Limited-rate channel state feedback for multicarrier block fading channels
IEEE Transactions on Information Theory
Adaptive feedback compression for MIMO networks
Proceedings of the 19th annual international conference on Mobile computing & networking
Hi-index | 35.75 |
Feedback of quantized channel state information (CSI), called limited feedback, enables transmit beamforming in multiple-input-multiple-output (MIMO) wireless systems with a small amount of overhead. Due to its efficiency, beamforming with limited feedback has been adopted in several wireless communication standards. Prior work on limited feedback commonly adopts the block fading channel model where temporal correlation in wireless channels is neglected. In this paper, we consider temporally correlated channels and design single-user transmit beamforming with limited feedback. Analytical results concerning CSI feedback are derived by modeling quantized CSI as a first-order finite-state Markov chain. These results include the information rate of the CSI quantizer output, the bit rate a CSI feedback channel is reqnired to support, and the effect of feedback delay on throughput. In particular, based on the theory of Markov chain convergence rate, feedback delay is proved to reduce the throughput gain due to CSI feedback at least exponentially. Furthermore, an algorithm is proposed for CSI feedback compression in time. Combining the results in this work leads to a new method for designing limited feedback beamforming as demonstrated by a design example.