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
Link To Document :
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