DocumentCode
974895
Title
MIMO Minimum Total MSE Transceiver Design With Imperfect CSI at Both Ends
Author
Ding, Minhua ; Blostein, Steven D.
Volume
57
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1141
Lastpage
1150
Abstract
This paper presents new results on joint linear transceiver design under the minimum total mean-square error (MSE) criterion, with channel mean as well as both transmit and receive correlation information at both ends of a multiple-input multiple-output (MIMO) link. The joint design is formulated into an optimization problem. The optimum closed-form precoder and decoder are derived. Compared to the case with perfect channel state information (CSI), linear filters are added at both ends to balance the suppression of channel noise and the noise from imperfect channel estimation. The impact of channel estimation error as well as channel correlation on system performance is assessed, based on analytical and simulation results.
Keywords
MIMO communication; channel estimation; correlation theory; least mean squares methods; transceivers; CSI; MIMO; MSE criterion; channel correlation; channel noise; channel state information; joint linear transceiver design; linear filters; minimum total mean-square error; multiple-input multiple-output link; optimization problem; optimum closed-form decoder; optimum closed-form precoder; Channel state information (CSI); mean-square error (MSE); multiple-input multiple-output (MIMO); precoding; spatial multiplexing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2008.2008542
Filename
4663940
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