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dc.contributor.authorKhafagy, Mohammad Galal
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorAissa, Sonia
dc.date.accessioned2018-11-25T07:07:59Z
dc.date.available2017-12-28T07:32:13Z
dc.date.available2018-11-25T07:07:59Z
dc.date.issued2018-05-25
dc.identifier.citationKhafagy MG, Alouini M-S, Aissa S (2018) Full-Duplex Relay Selection in Cognitive Underlay Networks. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2018.2840705.
dc.identifier.issn0090-6778
dc.identifier.doi10.1109/TCOMM.2018.2840705
dc.identifier.urihttp://hdl.handle.net/10754/626498
dc.description.abstractWe analyze the outage and throughput performance of full-duplex relay selection (FDRS) in underlay cognitive networks. Contrary to half-duplex relaying, full-duplex relaying (FDR) enables simultaneous listening/forwarding at the secondary relay(s), thereby allowing for higher spectral efficiency. However, due to simultaneous source/relay transmissions in FDR, the superimposed signal at the primary receiver should now satisfy the existing interference constraint, which can considerably limit the secondary network throughput. In this regard, FDRS can offer an adequate solution to boost the secondary throughput while satisfying the imposed interference limit. We first analyze the performance of opportunistic FDRS with residual selfinterference (RSI) by deriving the exact cumulative distribution function of its end-to-end signal-to-interference-plus-noise ratio under Nakagami-m fading. We also evaluate the offered diversity gain of relay selection for different full-duplex cooperation schemes in the presence/absence of a direct source-destination link under Rayleigh fading. When the RSI link gain model is sublinear in the relay power, which agrees with recent research findings, we show that remarkable diversity can be recovered even in the presence of an interfering direct link. Second, we evaluate the end-to-end performance of FDRS with interference constraints due to the presence of a primary receiver. Finally, the presented theoretical findings are verified by numerical simulations.
dc.description.sponsorshipThe research reported in this publication is supported by funding from King Abdullah University of Science and Technology (KAUST).
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8365761/
dc.rights(c) 2018 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.subjectdiversity gain
dc.subjectfull-duplex
dc.subjectInterference constraints
dc.subjectopportunistic relay selection
dc.subjectoutage performance
dc.subjectRayleigh channels
dc.subjectReceivers
dc.subjectRelays
dc.subjectself-interference
dc.subjectspectrum sharing
dc.subjectThroughput
dc.titleFull-Duplex Relay Selection in Cognitive Underlay Networks
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.institutionInstitut National de la Recherche Scientifique (INRS), University of Quebec, Montreal, QC, H5A 1K6, Canada.
dc.identifier.arxivid1710.00177
kaust.personKhafagy, Mohammad Galal
kaust.personAlouini, Mohamed-Slim
dc.versionv1
refterms.dateFOA2018-06-14T03:35:51Z
dc.date.published-online2018-05-25
dc.date.published-print2018
dc.date.posted2017-09-30


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