Journal of Algorithms
Global convergence and empirical consistency of the generalized Lloyd algorithm
IEEE Transactions on Information Theory
Design and analysis of dynamic Huffman codes
Journal of the ACM (JACM)
Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Limited feedback unitary precoding for orthogonal space-time block codes
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
Minimum BER linear transceivers for MIMO channels via primal decomposition
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
Recursive and Trellis-Based Feedback Reduction for MIMO-OFDM with Rate-Limited Feedback
IEEE Transactions on Wireless Communications
Systematic design of unitary space-time constellations
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Limited feedback unitary precoding for spatial multiplexing systems
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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This paper gives an overview and a comparison of recent feedback quantization schemes for linear precoded spatial multiplexing systems. In addition, feedback compression methods are presented that exploit the time correlation of the channel. These methods can be roughly divided into two classes. The first class tries to minimize the data rate on the feedback link while keeping the performance constant. This class is novel and relies on entropy coding. The second class tries to optimize the performance while using the maximal data rate on the feedback link. This class is presented within the well-developed framework of finite-state vector quantization. Within this class, existing as well as novel methods are presented and compared.