Optimal STBC precoding with channel covariance feedback for minimum error probability

Authors:
Yi Zhao;Raviraj Adve;Teng Joon Lim
Affiliations:
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada;Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada;Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

Citing 12
Cited 1

Matrix analysis

Matrix analysis
Elements of information theory

Elements of information theory
Radiowave Propagation and Smart Antennas for Wireless Communications

Radiowave Propagation and Smart Antennas for Wireless Communications
On the robustness of space-time coding

IEEE Transactions on Signal Processing
Space-time codes for high data rate wireless communication: performance criterion and code construction

IEEE Transactions on Information Theory
Space-time block codes from orthogonal designs

IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback

IEEE Transactions on Information Theory
Combining beamforming and orthogonal space-time block coding

IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications

IEEE Journal on Selected Areas in Communications
Space-time block coding for wireless communications: performance results

IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation

IEEE Journal on Selected Areas in Communications
Optimizing MIMO antenna systems with channel covariance feedback

IEEE Journal on Selected Areas in Communications

Throughput evaluation for MIMO systems with partial CSIT and adaptive packet length

ICCOM'10 Proceedings of the 14th WSEAS international conference on Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper develops the optimal linear transformation (or precoding) of orthogonal space-time block codes (STBC) for minimizing probability of decoding error, when the channel covariance matrix is available at the transmitter. We build on recent work that stated the performance criterion without solving for the transformation. In this paper, we provide a water-filling solution for multi-input single-output (MISO) systems, and present a numerical solution for multi-input multi-output (MIMO) systems. Our results confirm that eigen-beamforming is optimal at low SNR or highly correlated channels, and full diversity is optimal at high SNR or weakly correlated channels, in terms of error probability. This conclusion is similar to one reached recently from the capacity-achieving viewpoint.