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

TitleA unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming
Authors
Xing, CFei, ZMa, SKuang, JWu, YC
KeywordsMSE
Optimization
Quadratic matrix programming
Transceiver design
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800008
Citation
The 2012 International Conference on Wireless Communications and Signal Processing (WCSP 2012), Huangshan, China, 25-27 October 2012. In Conference Proceedings, 2012, p. 1-6 How to Cite?
DOI: http://dx.doi.org/10.1109/WCSP.2012.6542823
AbstractIn 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.
Persistent Identifierhttp://hdl.handle.net/10722/189822
ISBN
978-1-4673-5830-9

 

DC FieldValueLanguage
dc.contributor.authorXing, Cen_US
dc.contributor.authorFei, Zen_US
dc.contributor.authorMa, Sen_US
dc.contributor.authorKuang, Jen_US
dc.contributor.authorWu, YCen_US
dc.date.accessioned2013-09-17T15:00:43Z-
dc.date.available2013-09-17T15:00:43Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 International Conference on Wireless Communications and Signal Processing (WCSP 2012), Huangshan, China, 25-27 October 2012. In Conference Proceedings, 2012, p. 1-6en_US
dc.identifier.isbn978-1-4673-5830-9-
dc.identifier.urihttp://hdl.handle.net/10722/189822-
dc.description.abstractIn 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.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800008-
dc.relation.ispartofInternational Conference on Wireless Communications and Signal Processing (WCSP)en_US
dc.subjectMSE-
dc.subjectOptimization-
dc.subjectQuadratic matrix programming-
dc.subjectTransceiver design-
dc.titleA unified linear MSE minimization MIMO beamforming design based on quadratic matrix programmingen_US
dc.typeConference_Paperen_US
dc.identifier.emailFei, Z: zsfei@hku.hken_US
dc.identifier.emailMa, S: sdma@eee.hku.hken_US
dc.identifier.emailWu, YC: ycwu@eee.hku.hken_US
dc.identifier.authorityMa, S=rp00153en_US
dc.identifier.authorityWu, YC=rp00195en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/WCSP.2012.6542823-
dc.identifier.scopuseid_2-s2.0-84881081294-
dc.identifier.hkuros221118en_US
dc.identifier.spage1en_US
dc.identifier.epage6en_US
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150202-

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