DocumentCode :
2491243
Title :
Robust joint precoder/receive filter designs for multiuser MIMO downlink
Author :
Ubaidulla, P. ; Chockalingam, A.
Author_Institution :
Dept. of ECE, Indian Inst. of Sci., Bangalore, India
fYear :
2009
fDate :
21-24 June 2009
Firstpage :
136
Lastpage :
140
Abstract :
In this paper, we consider robust joint linear precoder/receive filter designs for multiuser multi-input multi-output (MIMO) downlink that minimize the sum mean square error (SMSE) in the presence of imperfect channel state information at the transmitter (CSIT). The base station (BS) is equipped with multiple transmit antennas, and each user terminal is equipped with one or more receive antennas. We consider a stochastic error (SE) model and a norm-bounded error (NBE) model for the CSIT error. In the case of CSIT error following SE model, we compute the desired downlink precoder/receive filter matrices by solving the simpler uplink problem by exploiting the uplink-downlink duality for the MSE region. In the case of the CSIT error following the NBE model, we consider the worst-case SMSE as the objective function, and propose an iterative algorithm for the robust transceiver design. The robustness of the proposed algorithms to imperfections in CSIT is illustrated through simulations.
Keywords :
MIMO communication; filters; mean square error methods; multi-access systems; receiving antennas; stochastic processes; transmitting antennas; base station; imperfect channel state information; multiuser MIMO downlink; multiuser multi-input multi-output; norm-bounded error; receive antennas; robust joint precoder/receive filter designs; stochastic error model; sum mean square error; transmit antennas; Channel state information; Downlink; Information filtering; Information filters; Iterative algorithms; MIMO; Mean square error methods; Nonlinear filters; Receiving antennas; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
Conference_Location :
Perugia
Print_ISBN :
978-1-4244-3695-8
Electronic_ISBN :
978-1-4244-3696-5
Type :
conf
DOI :
10.1109/SPAWC.2009.5161762
Filename :
5161762
Link To Document :
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