Robust beamforming for amplify-and-forward MIMO relay systems based on quadratic matrix programming

Author

Xing, Chengwen ; Ma, Shaodan ; Wu, Yik-Chung ; Ng, Tung-Sang

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China

fYear

2010

fDate

14-19 March 2010

Firstpage

3250

Lastpage

3253

Abstract

In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and then the effect are incorporated into the robust transceiver based on the Bayesian framework. An iterative algorithm is proposed to jointly design the precoder at the source, the forward matrix at the relay and the equalizer at the destination, and the joint design problem can be efficiently solved by quadratic matrix programming (QMP).

Keywords

Bayes methods; Gaussian processes; MIMO communication; array signal processing; channel estimation; iterative methods; least mean squares methods; quadratic programming; transceivers; Bayesian framework; Gaussian random variable; amplify-and-forward MIMO relay systems; channel estimation error; forward matrix; iterative algorithm; minimum mean square error criterion; precoder design; quadratic matrix programming; robust beamforming; robust transceiver design; Algorithm design and analysis; Array signal processing; Bayesian methods; Channel estimation; MIMO; Quadratic programming; Random variables; Relays; Robustness; Transceivers;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5496038

Filename

5496038