A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming
Xing C.2; Fei Z.2; Ma S.3; Kuang J.2; Wu Y.-C.1
2012-12-01
Conference Name4th International Conference on Wireless Communications and Signal Processing (WCSP)
Source Publication2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012
Conference DateOCT 25-27, 2012
Conference PlaceHuangshan, PEOPLES R CHINA
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. © 2012 IEEE.

KeywordMse Optimization Quadratic Matrix Programming Transceiver Design
DOI10.1109/WCSP.2012.6542823
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000324751500038
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.The University of Hong Kong
2.Beijing Institute of Technology
3.Universidade de Macau
Recommended Citation
GB/T 7714
Xing C.,Fei Z.,Ma S.,et al. A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming[C],2012.
APA Xing C.,Fei Z.,Ma S.,Kuang J.,&Wu Y.-C..(2012).A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming.2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012.
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