DocumentCode :
2122570
Title :
Joint optimization for multiuser MIMO uplink systems with imperfect CSI
Author :
Ding, Minhua ; Blostein, Steven D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON
fYear :
2008
fDate :
24-26 June 2008
Firstpage :
191
Lastpage :
195
Abstract :
In this paper, a joint linear minimum sum mean-squared error transceiver optimization problem is formulated for multiuser MIMO uplink systems under a sum power constraint assuming imperfect channel state information (CSI). Two methods are proposed to solve this problem. One is based on the associated Karush-Kuhn-Tucker conditions. The other is to solve an equivalent problem, approaching the solution by solving a sequence of semi-definite programming problems. After obtaining the solution to the optimization problem, we investigate the effects of channel estimation errors and antenna correlation at the base station on system performance. Simulation results are provided.
Keywords :
MIMO communication; antenna arrays; channel estimation; mean square error methods; optimisation; transceivers; Imperfect CSI; Karush-Kuhn-Tucker conditions; antenna correlation; channel estimation errors; channel state information; joint optimization; linear minimum sum mean-squared error transceiver; multiuser MIMO uplink systems; semi-definite programming problems; Base stations; Channel estimation; Channel state information; Computer errors; Decoding; Downlink; MIMO; System performance; Transceivers; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008 24th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-1945-6
Electronic_ISBN :
978-1-4244-1946-3
Type :
conf
DOI :
10.1109/BSC.2008.4563236
Filename :
4563236
Link To Document :
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