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Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter

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Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter. / Musavian, Leila; Nakhai, Mohammad Reza; Dohler, Mischa et al.
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE. New York: IEEE, 2006. p. 1-5.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Musavian, L, Nakhai, MR, Dohler, M & Aissa, S 2006, Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter. in Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE. IEEE, New York, pp. 1-5, IEEE Global Telecommunications Conference (GLOBECOM 06), San Francisco, 27/11/06. https://doi.org/10.1109/GLOCOM.2006.617

APA

Musavian, L., Nakhai, M. R., Dohler, M., & Aissa, S. (2006). Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter. In Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE (pp. 1-5). IEEE. https://doi.org/10.1109/GLOCOM.2006.617

Vancouver

Musavian L, Nakhai MR, Dohler M, Aissa S. Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter. In Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE. New York: IEEE. 2006. p. 1-5 doi: 10.1109/GLOCOM.2006.617

Author

Musavian, Leila ; Nakhai, Mohammad Reza ; Dohler, Mischa et al. / Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter. Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE. New York : IEEE, 2006. pp. 1-5

Bibtex

@inproceedings{204cc5fdb9164b15a71dd4197f7eae11,
title = "Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter",
abstract = "In this paper, we study the effect of channel estimation error on mutual information in a multiple input multiple output (MIMO) channel with correlated Rayleigh fading. We assume that perfect knowledge of the channel correlation is available at the receiver and find the upper bounds and the lower bounds on mutual information. We also assume that the covariance information is available to the transmitter and prove that transmitting towards the direction of the eigenvectors of the transmit covariance matrix maximizes the bounds on the mutual information. We further find the mutual information bounds for beamforming and prove that the difference between these two bounds does not exceed a certain value which depends on the number of non-zero eigenvalues of the receive correlation matrix. Numerical simulations are conducted to corroborate theoretical results.",
author = "Leila Musavian and Nakhai, {Mohammad Reza} and Mischa Dohler and Sonia Aissa",
year = "2006",
doi = "10.1109/GLOCOM.2006.617",
language = "English",
isbn = "978-1-4244-0356-1",
pages = "1--5",
booktitle = "Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE",
publisher = "IEEE",
note = "IEEE Global Telecommunications Conference (GLOBECOM 06) ; Conference date: 27-11-2006 Through 01-12-2006",

}

RIS

TY - GEN

T1 - Effect of Channel Uncertainty on MIMO Systems with Covariance Information at the Transmitter

AU - Musavian, Leila

AU - Nakhai, Mohammad Reza

AU - Dohler, Mischa

AU - Aissa, Sonia

PY - 2006

Y1 - 2006

N2 - In this paper, we study the effect of channel estimation error on mutual information in a multiple input multiple output (MIMO) channel with correlated Rayleigh fading. We assume that perfect knowledge of the channel correlation is available at the receiver and find the upper bounds and the lower bounds on mutual information. We also assume that the covariance information is available to the transmitter and prove that transmitting towards the direction of the eigenvectors of the transmit covariance matrix maximizes the bounds on the mutual information. We further find the mutual information bounds for beamforming and prove that the difference between these two bounds does not exceed a certain value which depends on the number of non-zero eigenvalues of the receive correlation matrix. Numerical simulations are conducted to corroborate theoretical results.

AB - In this paper, we study the effect of channel estimation error on mutual information in a multiple input multiple output (MIMO) channel with correlated Rayleigh fading. We assume that perfect knowledge of the channel correlation is available at the receiver and find the upper bounds and the lower bounds on mutual information. We also assume that the covariance information is available to the transmitter and prove that transmitting towards the direction of the eigenvectors of the transmit covariance matrix maximizes the bounds on the mutual information. We further find the mutual information bounds for beamforming and prove that the difference between these two bounds does not exceed a certain value which depends on the number of non-zero eigenvalues of the receive correlation matrix. Numerical simulations are conducted to corroborate theoretical results.

U2 - 10.1109/GLOCOM.2006.617

DO - 10.1109/GLOCOM.2006.617

M3 - Conference contribution/Paper

SN - 978-1-4244-0356-1

SP - 1

EP - 5

BT - Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE

PB - IEEE

CY - New York

T2 - IEEE Global Telecommunications Conference (GLOBECOM 06)

Y2 - 27 November 2006 through 1 December 2006

ER -