DocumentCode
3326993
Title
Robust Design of Linear MIMO Transceiver for Low SNR
Author
Zhang, Xi ; Palomar, Daniel P. ; Ottersten, Björn
Author_Institution
Dept. of Signal, Sensors & Syst., R. Inst. of Technol., Stockholm
fYear
2005
fDate
Oct. 28 2005-Nov. 1 2005
Firstpage
398
Lastpage
402
Abstract
In practical systems, the design of linear MIMO transceivers should be robust to partial or imperfect channel state information (CSI). This paper considers the case in which only the second-order statistics of the channel is known at the transmitter while the receiver has a perfect CSI. In such a case, it is possible to optimally design robust MIMO transceivers based on a general cost function covering several well known performance criteria. In particular, two families are considered in detail: Schur-convex and Schur-concave functions. Approximations are used in the low SNR regime to obtain simple optimization problems that can be readily solved. Numerical examples show substantial gains compared to other methods
Keywords
MIMO systems; matrix algebra; statistical analysis; transceivers; wireless channels; SNR; Schur-concave functions; Schur-convex functions; general cost function; imperfect channel state information; linear MIMO transceiver robust design; optimization problems; second-order statistics; Channel estimation; Channel state information; Cost function; Feedback; MIMO; Robustness; Sensor systems; Signal design; Transceivers; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
1-4244-0131-3
Type
conf
DOI
10.1109/ACSSC.2005.1599776
Filename
1599776
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