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