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Conference Paper: Optimal beamforming for sum-MSE minimization in MIMO downlink channels

TitleOptimal beamforming for sum-MSE minimization in MIMO downlink channels
Authors
Issue Date2006
Citation
Ieee Vehicular Technology Conference, 2006, v. 4, p. 1830-1834 How to Cite?
AbstractIn this paper, we address the joint transmit and receive beamforming design of a 2-user (2,2) downlink system. Our aim is to minimize the aggregate mean-square-error (MSE) (or sum-MSE in short) subject to the total power constraint. By exploiting the uplink-downlink duality, the problem can be converted to the equivalent uplink system and so solved using semidefinite programming relaxation (SDPR). Due to the rank relaxation, however, SDPR will generally not give the optimal solution of the original problem. In particular, for some cases, we can show analytically that the exact optimal beamforming solution can be retrieved from the SDPR. For the other cases, a convergent iterative algorithm is proposed to provide a solution. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99813
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZheng, Gen_HK
dc.contributor.authorNg, TSen_HK
dc.contributor.authorWong, KKen_HK
dc.date.accessioned2010-09-25T18:45:11Z-
dc.date.available2010-09-25T18:45:11Z-
dc.date.issued2006en_HK
dc.identifier.citationIeee Vehicular Technology Conference, 2006, v. 4, p. 1830-1834en_HK
dc.identifier.issn1550-2252en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99813-
dc.description.abstractIn this paper, we address the joint transmit and receive beamforming design of a 2-user (2,2) downlink system. Our aim is to minimize the aggregate mean-square-error (MSE) (or sum-MSE in short) subject to the total power constraint. By exploiting the uplink-downlink duality, the problem can be converted to the equivalent uplink system and so solved using semidefinite programming relaxation (SDPR). Due to the rank relaxation, however, SDPR will generally not give the optimal solution of the original problem. In particular, for some cases, we can show analytically that the exact optimal beamforming solution can be retrieved from the SDPR. For the other cases, a convergent iterative algorithm is proposed to provide a solution. © 2006 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_HK
dc.titleOptimal beamforming for sum-MSE minimization in MIMO downlink channelsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailNg, TS:tsng@eee.hku.hken_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-34047094924en_HK
dc.identifier.hkuros134384en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34047094924&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4en_HK
dc.identifier.spage1830en_HK
dc.identifier.epage1834en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZheng, G=16176882900en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK
dc.identifier.scopusauthoridWong, KK=7404759940en_HK

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