Sum-MSE minimization for MIMO interference channels under CSI mismatch

Author

Conggai Li ; Feng Liu ; Chen He ; Lingge Jiang

Author_Institution

Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2015

fDate

7-10 July 2015

Firstpage

588

Lastpage

590

Abstract

This paper considers multiple-input multiple-output (MIMO) interference channels, where the robust transceiver is designed under imperfect channel state information (CSI). Our objective is to minimize the sum mean-square-error (MSE) subject to per-transmitter power constraints. An iterative algorithm is proposed to solve the optimization problem. The analysis shows that the optimal equalizer is equivalent to the minimum MSE (MMSE) receiver, while the optimal precoder is obtained distributively by exploiting the Lagrangian method. Simulation results verifies the effectiveness of the proposed algorithm under CSI mismatch.

Keywords

MIMO communication; equalisers; iterative methods; least mean squares methods; minimisation; precoding; radio transceivers; wireless channels; CSI mismatch; Lagrangian method; MIMO interference channel; MMSE receiver; channel state information; iterative algorithm; minimum MSE receiver; multiple input multiple output interference channel; optimal equalizer; optimal precoder; optimization problem; per-transmitter power constraint; robust transceiver; sum mean square error minimization; sum-MSE minimization; Algorithm design and analysis; Antennas; MIMICs; MIMO interference channel; imperfect CSI; minimize sum MSE optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on

Conference_Location

Sapporo

ISSN

2288-0712

Type

conf

DOI

10.1109/ICUFN.2015.7182612

Filename

7182612