Title :
MIMO Minimum Total MSE Transceiver Design With Imperfect CSI at Both Ends
Author :
Ding, Minhua ; Blostein, Steven D.
fDate :
3/1/2009 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2008.2008542