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dc.contributor.authorElkhalil, Khalil
dc.contributor.authorEltayeb, Mohammed
dc.contributor.authorKammoun, Abla
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorBahrami, Hamid Reza
dc.date.accessioned2016-01-31T14:50:53Z
dc.date.available2016-01-31T14:50:53Z
dc.date.issued2016-01-29
dc.identifier.citationOn the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing 2016:1 IEEE Transactions on Communications
dc.identifier.issn0090-6778
dc.identifier.doi10.1109/TCOMM.2016.2522959
dc.identifier.urihttp://hdl.handle.net/10754/595303
dc.description.abstractThis paper presents a comprehensive performance analysis of full-duplex multiuser relay networks employing opportunistic scheduling with noisy and compressive feedback. Specifically, two feedback techniques based on compressive sensing (CS) theory are introduced and their effect on the system performance is analyzed. The problem of joint user identity and signal-tonoise ratio (SNR) estimation at the base-station is casted as a block sparse signal recovery problem in CS. Using existing CS block recovery algorithms, the identity of the strong users is obtained and their corresponding SNRs are estimated using the best linear unbiased estimator (BLUE). To minimize the effect of feedback noise on the estimated SNRs, a back-off strategy that optimally backs-off on the noisy estimated SNRs is introduced, and the error covariance matrix of the noise after CS recovery is derived. Finally, closed-form expressions for the end-to-end SNRs of the system are derived. Numerical results show that the proposed techniques drastically reduce the feedback air-time and achieve a rate close to that obtained by scheduling techniques that require dedicated error-free feedback from all network users. Key findings of this paper suggest that the choice of half-duplex or full-duplex SNR feedback is dependent on the channel coherence interval, and on low coherence intervals, full-duplex feedback is superior to the interference-free half-duplex feedback.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7395325
dc.rights(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectCompressive Sensing
dc.subjectDecode-and-Forward
dc.subjectFeedback
dc.subjectFull-Duplex Relaying
dc.subjectScheduling
dc.titleOn the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.institutiondepartment of Electrical and Computer Engineering, The University of Texas at Austin, Texas, USA
dc.contributor.institutionDepartment of Electrical and Computer Engineering, The University of Akron, Ohio, USA
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personElkhalil, Khalil
kaust.personKammoun, Abla
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2018-06-14T02:19:56Z
dc.date.published-online2016-01-29
dc.date.published-print2016-04


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