On the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing

Handle URI:
http://hdl.handle.net/10754/595303
Title:
On the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing
Authors:
Elkhalil, Khalil ( 0000-0001-7656-3246 ) ; Eltayeb, Mohammed; Kammoun, Abla ( 0000-0002-0195-3159 ) ; Al-Naffouri, Tareq Y.; Bahrami, Hamid Reza
Abstract:
This 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.
KAUST Department:
Electrical Engineering Program
Citation:
On the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing 2016:1 IEEE Transactions on Communications
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Communications
Issue Date:
29-Jan-2016
DOI:
10.1109/TCOMM.2016.2522959
Type:
Article
ISSN:
0090-6778
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7395325
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorElkhalil, Khalilen
dc.contributor.authorEltayeb, Mohammeden
dc.contributor.authorKammoun, Ablaen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorBahrami, Hamid Rezaen
dc.date.accessioned2016-01-31T14:50:53Zen
dc.date.available2016-01-31T14:50:53Zen
dc.date.issued2016-01-29en
dc.identifier.citationOn the Feedback Reduction of Relay Multiuser Networks using Compressive Sensing 2016:1 IEEE Transactions on Communicationsen
dc.identifier.issn0090-6778en
dc.identifier.doi10.1109/TCOMM.2016.2522959en
dc.identifier.urihttp://hdl.handle.net/10754/595303en
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.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7395325en
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.en
dc.subjectCompressive Sensingen
dc.subjectDecode-and-Forwarden
dc.subjectFeedbacken
dc.subjectFull-Duplex Relayingen
dc.subjectSchedulingen
dc.titleOn the Feedback Reduction of Relay Multiuser Networks using Compressive Sensingen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Communicationsen
dc.eprint.versionPost-printen
dc.contributor.institutiondepartment of Electrical and Computer Engineering, The University of Texas at Austin, Texas, USAen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, The University of Akron, Ohio, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorElkhalil, Khalilen
kaust.authorKammoun, Ablaen
kaust.authorAl-Naffouri, Tareq Y.en
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