Joint source and relay matrices optimization for interference MIMO relay systems

Author

Khoa Xuan Nguyen ; Yue Rong

Author_Institution

Dept. Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia

fYear

2014

fDate

26-29 Oct. 2014

Firstpage

640

Lastpage

644

Abstract

In this paper, we investigate the transceiver design for an amplify-and-forward interference multiple-input multiple-output (MIMO) relay communication system. The minimum mean-squared error (MMSE) of the signal waveform estimation is chosen as the design criterion to optimize the source, relay, and receiver matrices for interference suppression. An iterative algorithm is proposed to solve the nonconvex source, relay, and receiver optimization problem. Simulation results demonstrate that the proposed algorithm outperforms the existing technique in terms of both MSE and bit-error-rate.

Keywords

MIMO communication; amplify and forward communication; error statistics; interference suppression; iterative methods; least mean squares methods; matrix algebra; optimisation; relay networks (telecommunication); transceivers; MMSE; amplify-and-forward interferenceMIMO relay communication system; bit-error-rate; design criterion; interference suppression; iterative algorithm; joint source-relay matrix optimization; minimum mean-squared error; multiple-input multiple-output relay communication system; nonconvex source; receiver matrices; receiver optimization problem; signal waveform estimation; transceiver design; Bit error rate; Covariance matrices; Interference; MIMO; Receivers; Relays; Vectors; Interference channel; MIMO relay; MSE;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory and its Applications (ISITA), 2014 International Symposium on

Conference_Location

Melbourne, VIC

Type

conf

Filename

6979922