NDLI: Robust transmit eigen-beamforming with imperfect knowledge of channel correlations

Content Provider	IEEE Xplore Digital Library
Author	Abdel-Samad, A. Gershman, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Commun. Syst., Duisburg Univ., Germany (Abdel-Samad, A.; Gershman, A.)
Abstract	Transmit beamforming is a powerful approach to enhance the performance of wireless communication systems employing multiple antennas at the transmitter. Using channel covariance information, transmit beamforming has been pursued based on various criteria. A major drawback of existing techniques is that most of them require nearly perfect knowledge of the channel covariance matrix at the transmitter, which is not necessarily possible in practice. In this paper, we propose a more robust framework in which we take this issue into account and design a robust transmit beamformer to have the best performance under the worst-case mismatch. We show that, for small mismatches, eigen-beamforming along the eigenvectors of the presumed channel correlation matrix offers the best worst-case performance. We also combine eigen-beamforming with robust power loading that is achieved by spatial water-filling-type strategy in which the water level is determined in a simple form.
Starting Page	2292
Ending Page	2296
File Size	142037
Page Count	5
File Format	PDF
ISBN	0780389387
DOI	10.1109/ICC.2005.1494744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-16
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Transmitters Transmitting antennas Feedback Wireless communication Receiving antennas Array signal processing Power system modeling AWGN Covariance matrix
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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