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dc.contributor.authorSboui, Lokman
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorRezki, Zouheir
dc.date.accessioned2012-12-29T11:36:21Z
dc.date.available2012-12-29T11:36:21Z
dc.date.issued2012-12-29
dc.identifier.issn1536-1276
dc.identifier.doi10.1109/TWC.2012.122212.120449
dc.identifier.urihttp://hdl.handle.net/10754/263774
dc.descriptionThis paper has been accepted in IEEE Transactions on Wireless Communications.
dc.description.abstractWe consider a spectrum sharing communication scenario in which a primary and a secondary users are communicating, simultaneously, with their respective destinations using the same frequency carrier. Both optimal power profile and ergodic capacity are derived for fading channels, under an average transmit power and an instantaneous interference outage constraints. Unlike previous studies, we assume that the secondary user has a noisy version of the cross link and the secondary link Channel State Information (CSI). After deriving the capacity in this case, we provide an ergodic capacity generalization, through a unified expression, that encompasses several previously studied spectrum sharing settings. In addition, we provide an asymptotic capacity analysis at high and low signal-to-noise ratio (SNR). Numerical results, applied for independent Rayleigh fading channels, show that at low SNR regime, only the secondary channel estimation matters with no effect of the cross link on the capacity; whereas at high SNR regime, the capacity is rather driven by the cross link CSI. Furthermore, a practical on-off power allocation scheme is proposed and is shown, through numerical results, to achieve the full capacity at high and low SNR regimes and suboptimal rates in the medium SNR regime.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://arxiv.org/abs/1211.6566
dc.subjectUnderlay cognitive radio
dc.subjectSpectrum sharing
dc.subjectErgodic capacity
dc.subjectImperfect CSI
dc.subjectOn-off scheme
dc.titleA Unified Framework for the Ergodic Capacity of Spectrum Sharing Cognitive Radio Systems
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.eprint.versionPre-print
dc.contributor.institutionElectronics and Communication Department, Faculty of Engineering, Cairo University, Cairo, Egypt
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
dc.identifier.arxividarXiv:1211.6566
kaust.personSboui, Lokman
kaust.personRezki, Zouheir
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T14:00:44Z


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