A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming

Author

Chengwen Xing ; Zesong Fei ; Shaodan Ma ; Jingming Kuang ; Yik-Chung Wu

Author_Institution

Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China

fYear

2012

fDate

25-27 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

In this paper, we investigate a unified linear transceiver design with mean-square-error (MSE) as the objective function for a wide range of wireless systems. The unified design is based on an elegant mathematical programming technology namely quadratic matrix programming (QMP). It is revealed that for different wireless systems such as multi-cell coordination systems, multi-user MIMO systems, MIMO cognitive radio systems, amplify-and-forward MIMO relaying systems, the MSE minimization beamforming design problems can always be solved by solving a number of QMP problems. A comprehensive framework on how to solve QMP problems is also given.

Keywords

MIMO communication; array signal processing; cognitive radio; mathematical programming; matrix algebra; mean square error methods; minimisation; quadratic programming; radio transceivers; relay networks (telecommunication); MIMO cognitive radio systems; MSE minimization beamforming design problems; QMP; amplify-and-forward MIMO relaying systems; mathematical programming technology; mean square error; multicell coordination systems; multiuser MIMO systems; objective function; quadratic matrix programming; unified linear MSE minimization MIMO beamforming design; unified linear transceiver design; wireless systems; MSE; Quadratic matrix programming; optimization; transceiver design;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications & Signal Processing (WCSP), 2012 International Conference on

Conference_Location

Huangshan

Print_ISBN

978-1-4673-5830-9

Electronic_ISBN

978-1-4673-5829-3

Type

conf

DOI

10.1109/WCSP.2012.6542823

Filename

6542823