Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
Capacity of a multiple-antenna fading channel with a quantized precoding matrix
IEEE Transactions on Information Theory
Limited-rate channel state feedback for multicarrier block fading channels
IEEE Transactions on Information Theory
Design and analysis of transmit-beamforming based on limited-rate feedback
IEEE Transactions on Signal Processing
Interpolation based transmit beamforming for MIMO-OFDM with limited feedback
IEEE Transactions on Signal Processing
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
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
IEEE Transactions on Information Theory
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
An overview of limited feedback in wireless communication systems
IEEE Journal on Selected Areas in Communications
Trellis coded beamforming vector quantization with fractional bits per antenna
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Limited-rate channel state feedback for multicarrier block fading channels
IEEE Transactions on Information Theory
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The achievable rate of a wideband multi-input single-output channel with multi-carrier transmission is studied with limited feedback of channel state information (CSI). The set of sub-channel vectors are assumed to be jointly quantized and relayed back to the transmitter. Given a fixed feedback rate, the performance of an optimal joint quantization scheme can be characterized by the rate-distortion bound. The distortion metric is the average loss in capacity (forward rate) relative to the capacity with perfect channel state information at the transmitter and receiver. The corresponding rate distortion function gives the forward capacity as a function of feedback rate and is determined explicitly by casting the minimization of mutual information in the rate-distortion problem as an optimal control problem. Numerical results show that when the feedback rate is relatively small, the rate-distortion bound significantly outperforms separate quantization of the state information of each sub-channel.