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Article: Energy-efficient multiuser SIMO: Achieving probabilistic robustness with Gaussian channel uncertainty

TitleEnergy-efficient multiuser SIMO: Achieving probabilistic robustness with Gaussian channel uncertainty
Authors
KeywordsConvex optimization
MIMO antenna
Multiple access channel
Robust design
S-procedure
SDP relaxation
Issue Date2009
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=26
Citation
Ieee Transactions On Communications, 2009, v. 57 n. 6, p. 1866-1878 How to Cite?
AbstractThis paper addresses the joint optimization of power control and receive beamforming vectors for a multiuser singleinput multiple-output (SIMO) antenna system in the uplink in which mobile users are single-antenna transmitters and the base station receiver has multiple antennas. Channel state information at the receiver (CSIR) is exploited but the CSIR is imperfect with its uncertainty being modeled as a random Gaussian matrix. Our objective is to devise an energy-efficient solution to minimize the individual users' transmit power while meeting the users' signal-to-interference plus noise ratio (SINR) constraints, under the consideration of CSIR and its error characteristics. This is achieved by solving a sum-power minimization problem, subject to a collection of users' outage probability constraints on their target SINRs. Regarding the signal power minus the sum of inter-user interferences (SMI) power as Gaussian, an iterative and convergent algorithm which is proved to reach the global optimum for the joint power allocation and receive beamforming solution, is proposed, though the optimization problem is indeed non-convex. A systematic scheme to detect feasibility and find a feasible initial solution, if there exists any, is also devised. Simulation results verify the use of Gaussian approximation and robustness of the proposed algorithm in terms of users' probability constraints, and indicate a significant performance gain as compared to the zero-forcing (ZF) and minimum meansquare-error (MMSE) beamforming systems. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/58804
ISSN
2015 Impact Factor: 2.298
2015 SCImago Journal Rankings: 1.659
ISI Accession Number ID
Funding AgencyGrant Number
The Hong Kong Research Grants CouncilHKU7175/03E
The University Research Committee of The University of Hong Kong
The Engineering and Physical Science Research Council, United KingdomEP/D058716/1
Funding Information:

This work was supported in part by The Hong Kong Research Grants Council under grant HKU7175/03E and The University Research Committee of The University of Hong Kong, and in part by The Engineering and Physical Science Research Council under grant EP/D058716/1, United Kingdom.

References

 

DC FieldValueLanguage
dc.contributor.authorZheng, Gen_HK
dc.contributor.authorWong, KKen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2010-05-31T03:37:12Z-
dc.date.available2010-05-31T03:37:12Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Communications, 2009, v. 57 n. 6, p. 1866-1878en_HK
dc.identifier.issn0090-6778en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58804-
dc.description.abstractThis paper addresses the joint optimization of power control and receive beamforming vectors for a multiuser singleinput multiple-output (SIMO) antenna system in the uplink in which mobile users are single-antenna transmitters and the base station receiver has multiple antennas. Channel state information at the receiver (CSIR) is exploited but the CSIR is imperfect with its uncertainty being modeled as a random Gaussian matrix. Our objective is to devise an energy-efficient solution to minimize the individual users' transmit power while meeting the users' signal-to-interference plus noise ratio (SINR) constraints, under the consideration of CSIR and its error characteristics. This is achieved by solving a sum-power minimization problem, subject to a collection of users' outage probability constraints on their target SINRs. Regarding the signal power minus the sum of inter-user interferences (SMI) power as Gaussian, an iterative and convergent algorithm which is proved to reach the global optimum for the joint power allocation and receive beamforming solution, is proposed, though the optimization problem is indeed non-convex. A systematic scheme to detect feasibility and find a feasible initial solution, if there exists any, is also devised. Simulation results verify the use of Gaussian approximation and robustness of the proposed algorithm in terms of users' probability constraints, and indicate a significant performance gain as compared to the zero-forcing (ZF) and minimum meansquare-error (MMSE) beamforming systems. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=26en_HK
dc.relation.ispartofIEEE Transactions on Communicationsen_HK
dc.rightsIEEE Transactions on Communications. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectConvex optimizationen_HK
dc.subjectMIMO antennaen_HK
dc.subjectMultiple access channelen_HK
dc.subjectRobust designen_HK
dc.subjectS-procedureen_HK
dc.subjectSDP relaxationen_HK
dc.titleEnergy-efficient multiuser SIMO: Achieving probabilistic robustness with Gaussian channel uncertaintyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0090-6778&volume=57&issue=6&spage=1866&epage=1878&date=2009&atitle=Energy-efficient+multiuser+SIMO:+achieving+probabilistic+robustness+with+Gaussian+channel+uncertaintyen_HK
dc.identifier.emailNg, TS:tsng@eee.hku.hken_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TCOMM.2009.06.070574en_HK
dc.identifier.scopuseid_2-s2.0-67650663170en_HK
dc.identifier.hkuros164427en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67650663170&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume57en_HK
dc.identifier.issue6en_HK
dc.identifier.spage1866en_HK
dc.identifier.epage1878en_HK
dc.identifier.isiWOS:000266990500043-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZheng, G=16176882900en_HK
dc.identifier.scopusauthoridWong, KK=7404759940en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK
dc.identifier.citeulike8527943-

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