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Optimal Transmitter Eigen-Beamforming and Space-Time Block Coding Based on Channel Correlations (2003)
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| Venue: | IEEE Trans. Signal Processing |
| Citations: | 163 - 9 self |
BibTeX
@ARTICLE{Zhou03optimaltransmitter,
author = {Shengli Zhou and Georgios B. Giannakis},
title = {Optimal Transmitter Eigen-Beamforming and Space-Time Block Coding Based on Channel Correlations},
journal = {IEEE Trans. Signal Processing},
year = {2003},
volume = {50},
pages = {2599--2613}
}
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Abstract
Optimal transmitter designs obeying the waterfilling principle are well-documented, and widely applied, when the propagation channel is deterministically known and regularly updated at the transmitter. Because channel state information may be costly or impossible to acquire in rapidly varying wireless environments, we develop in this paper statistical waterfilling approaches for stationary random fading channels. These approaches require only knowledge of the channel correlations that do not necessitate frequent updates, and can be easily acquired. Applied to a multiple transmit-antenna paradigm, our optimal transmitter design turns out to be an eigen-beamformer with multiple beams pointing to orthogonal directions along the eigenvectors of the channel's correlation matrix, and with proper power loading across the beams. The optimality pertains to minimizing a tight bound on the symbol error rate. The resulting loaded eigen-beamforming outperforms not only the equal-power allocation across all antennas, but also the conventional beamformer that transmits the available power along the strongest direction. Coupled with orthogonal space time block codes, two-dimensional eigen-beamforming emerges as a more attractive choice than conventional one-dimensional beamforming with uniformly better performance, without rate reduction, and without complexity increase.
Keyphrases
channel correlation space-time block coding optimal transmitter eigen-beamforming optimal transmitter design two-dimensional eigen-beamforming emerges available power stationary random fading channel orthogonal direction equal-power allocation conventional beamformer orthogonal space time block code rate reduction frequent update paper statistical waterfilling approach complexity increase loaded eigen-beamforming outperforms channel state information tight bound propagation channel waterfilling principle multiple beam symbol error rate wireless environment proper power attractive choice correlation matrix conventional one-dimensional beamforming multiple transmit-antenna paradigm
