Relation between joint optimizations for multiuser MIMO uplink and downlink with imperfect CSI

Author

Ding, Minhua ; Blostein, Steven D.

Author_Institution

Dept. of ECE, Queen´´s Univ., Kingston, ON

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3149

Lastpage

3152

Abstract

Joint linear minimum sum mean-squared error (referred to as MSMSE) transmitter and receiver (transceiver) optimization problems are formulated for multiuser MIMO systems under a sum power constraint assuming imperfect channel state information (CSI). Both the uplink and the dual downlink are considered. Based on the Karush-Kuhn-Tucker (KKT) conditions associated with both problems, a relation between the two problems is discovered, which is termed the uplink-downlink duality in sum MSE under imperfect CSI. As a result, the MSMSEs in both links are the same and any admissible uplink design satisfying the KKT conditions can be translated for application to the downlink, and vice versa. Simulation results are provided to demonstrate the duality and show the impact of imperfect CSI.

Keywords

MIMO communication; least mean squares methods; multiuser channels; optimisation; radio links; transceivers; Karush-Kuhn-Tucker conditions; MSMSE; MSMSE linear transceiver design; imperfect channel state information; joint linear minimum sum mean-squared error transmitter; joint optimizations; minimum sum mean-squared error receiver; multiuser MIMO uplink-downlink duality; sum power constraint; transceiver optimization; Channel state information; Constraint optimization; Decoding; Downlink; MIMO; Multiple access interference; Signal to noise ratio; Transceivers; Transmitters; Vectors; MIMO; channel state information (CSI); duality; multiuser;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518318

Filename

4518318