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
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