DocumentCode :
2324025
Title :
Robust Design of Linear Mimo Transceivers Under Channel Uncertainty
Author :
Zhang, Xi ; Palomar, Daniel P. ; Ottersten, Björn
Author_Institution :
Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm
Volume :
4
fYear :
2006
fDate :
14-19 May 2006
Abstract :
This paper considers the robust design of a linear transceiver with imperfect channel state information (CSI) at the transmitter of a MIMO link. The framework embraces the design problem when CSI at the transmitter consists of the channel mean and covariance matrix or, equivalently, the channel estimate and the estimation error covariance matrix. The design of the linear MIMO transceiver is 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 and high SNR regimes separately to obtain simple optimization problems that can be readily solved. Numerical examples show gains compared to other suboptimal methods
Keywords :
MIMO systems; channel estimation; covariance matrices; transceivers; wireless channels; SNR; Schur-concave functions; Schur-convex functions; channel estimate; channel mean; channel state information; channel uncertainty; cost function; estimation error covariance matrix; linear MIMO transceivers; multiple input multiple output systems; signal-to-noise ratio; Channel state information; Cost function; Covariance matrix; Feedback; MIMO; Robustness; Transceivers; Transmitters; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660909
Filename :
1660909
Link To Document :
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