Space-time spreading and block coding for correlated fading channels in the presence of interference

Xiaodong Cai; Georgios B. Giannakis; Michael D. Zoltowski

doi:10.1109/TCOMM.2005.843459

Space-time spreading and block coding for correlated fading channels in the presence of interference

Xiaodong Cai, Georgios B. Giannakis, Michael D. Zoltowski

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

We consider point-to-point wireless links with multiple antennas in the presence of interference, and exploit channel's spatial correlation and the temporal covariance of the interference to design multiantenna transmitters. We develop a space-time spreading scheme that maximizes average signal-to-interference-and-noise ratio, and an optimally power-loaded space-time beamforming (STBF) scheme which improves error-probability performance. In order to increase transmission rates, we combine orthogonal space-time block coding with STBF, optimize power loading across beams, and develop low-complexity receivers. Optimal training for least-squares error channel estimation, and STBF for minimum mean-square error channel estimation, are also studied. Our analytical and simulated results corroborate that STBF with optimal power loading can considerably reduce error probability and channel-estimation errors.

Original language	English (US)
Pages (from-to)	515-525
Number of pages	11
Journal	IEEE Transactions on Communications
Volume	53
Issue number	3
DOIs	https://doi.org/10.1109/TCOMM.2005.843459
State	Published - Mar 2005

Bibliographical note

Funding Information:
Paper approved by J. Wang, the Editor for Wireless Spread Spectrum of the IEEE Communications Society. Manuscript received February 13, 2004; revised June 16, 2004. The work of X. Cai and G. B. Giannakis was supported through collaborative participation in the Communications and Networks Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The work of M. D. Zoltowski was supported by the Air Force Office of Scientific Research under Grant F49620-03-1-0149. This paper was presented in part at the Signal Processing Workshop on Advances in Wireless Communications, Lisbon, Portugal, July 2004.

Keywords

Beamforming
Covariance feedback
Interference suppression
Multiple-input multiple-output (MIMO)
Space-time coding (STC)

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10.1109/TCOMM.2005.843459

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title = "Space-time spreading and block coding for correlated fading channels in the presence of interference",

abstract = "We consider point-to-point wireless links with multiple antennas in the presence of interference, and exploit channel's spatial correlation and the temporal covariance of the interference to design multiantenna transmitters. We develop a space-time spreading scheme that maximizes average signal-to-interference-and-noise ratio, and an optimally power-loaded space-time beamforming (STBF) scheme which improves error-probability performance. In order to increase transmission rates, we combine orthogonal space-time block coding with STBF, optimize power loading across beams, and develop low-complexity receivers. Optimal training for least-squares error channel estimation, and STBF for minimum mean-square error channel estimation, are also studied. Our analytical and simulated results corroborate that STBF with optimal power loading can considerably reduce error probability and channel-estimation errors.",

keywords = "Beamforming, Covariance feedback, Interference suppression, Multiple-input multiple-output (MIMO), Space-time coding (STC)",

author = "Xiaodong Cai and Giannakis, {Georgios B.} and Zoltowski, {Michael D.}",

note = "Funding Information: Paper approved by J. Wang, the Editor for Wireless Spread Spectrum of the IEEE Communications Society. Manuscript received February 13, 2004; revised June 16, 2004. The work of X. Cai and G. B. Giannakis was supported through collaborative participation in the Communications and Networks Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The work of M. D. Zoltowski was supported by the Air Force Office of Scientific Research under Grant F49620-03-1-0149. This paper was presented in part at the Signal Processing Workshop on Advances in Wireless Communications, Lisbon, Portugal, July 2004.",

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N2 - We consider point-to-point wireless links with multiple antennas in the presence of interference, and exploit channel's spatial correlation and the temporal covariance of the interference to design multiantenna transmitters. We develop a space-time spreading scheme that maximizes average signal-to-interference-and-noise ratio, and an optimally power-loaded space-time beamforming (STBF) scheme which improves error-probability performance. In order to increase transmission rates, we combine orthogonal space-time block coding with STBF, optimize power loading across beams, and develop low-complexity receivers. Optimal training for least-squares error channel estimation, and STBF for minimum mean-square error channel estimation, are also studied. Our analytical and simulated results corroborate that STBF with optimal power loading can considerably reduce error probability and channel-estimation errors.

AB - We consider point-to-point wireless links with multiple antennas in the presence of interference, and exploit channel's spatial correlation and the temporal covariance of the interference to design multiantenna transmitters. We develop a space-time spreading scheme that maximizes average signal-to-interference-and-noise ratio, and an optimally power-loaded space-time beamforming (STBF) scheme which improves error-probability performance. In order to increase transmission rates, we combine orthogonal space-time block coding with STBF, optimize power loading across beams, and develop low-complexity receivers. Optimal training for least-squares error channel estimation, and STBF for minimum mean-square error channel estimation, are also studied. Our analytical and simulated results corroborate that STBF with optimal power loading can considerably reduce error probability and channel-estimation errors.

KW - Beamforming

KW - Covariance feedback

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KW - Multiple-input multiple-output (MIMO)

KW - Space-time coding (STC)

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Space-time spreading and block coding for correlated fading channels in the presence of interference

Abstract

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Keywords

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