Vector quantization and signal compression
Vector quantization and signal compression
Multi-Antenna Transceiver Techniques for 3g and Beyond
Multi-Antenna Transceiver Techniques for 3g and Beyond
Convex Optimization
Limited feedback unitary precoding for orthogonal space-time block codes
IEEE Transactions on Signal Processing
Transmitter optimization and optimality of beamforming for multiple antenna systems
IEEE Transactions on Wireless Communications
Minimum outage probability transmission with imperfect feedback for MISO fading channels
IEEE Transactions on Wireless Communications
Combining Beamforming and Space-Time Coding Using Quantized Feedback
IEEE Transactions on Wireless Communications
Combining beamforming and orthogonal space-time block coding
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
Quantized feedback information in orthogonal space-time block coding
IEEE Transactions on Information Theory
Throughput-Optimal Precoding and Rate Allocation for MISO Systems With Noisy Feedback Channels
IEEE Transactions on Information Theory
On the capacity of a multiple-antenna communication link with channel side information
IEEE Journal on Selected Areas in Communications
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
Throughput maximization over slowly fading channels using quantized and erroneous feedback
IEEE Transactions on Communications
Comparison of practical feedback algorithms for multiuser MIMO
IEEE Transactions on Communications
Design and analysis of optimal noisy channel quantization with random index assignment
IEEE Transactions on Information Theory
A novel weighted multilevel space-time trellis coding scheme
Computers & Mathematics with Applications
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The goal of combining beamforming and space-time coding is to obtain full-diversity order and to provide additional received power (array gain) compared to conventional space-time codes. In this work, a class of code constellations is proposed, called generalized partly orthogonal designs (PODs) and both high-rate and low-rate feedback information is incorporated with possible feedback errors. A binary symmetric channel (BSC) model characterizes feedback errors. Two cases are studied: first, when the BSC bit error probability is known a priori to the transmission ends, and second, when it is not known exactly. Based on a minimum pairwise error probability (PEP) design criterion, we design a channel optimized vector quantizer (COVQ) for feedback information and a precoder matrix codebook to adjust the transmission codewords. The attractive property of our combining scheme is that it converges to conventional space-time coding with low-rate and erroneous feedback and to directional beamforming with high-rate and error-free feedback. This scheme also shows desirable robustness against feedback channel modeling mismatch.