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dc.contributor.advisorAlouini, Mohamed-Slim*
dc.contributor.authorSoury, Hamza*
dc.date.accessioned2012-05-19T08:39:05Z
dc.date.available2012-05-19T08:39:05Z
dc.date.issued2012-05en
dc.identifier.doi10.25781/KAUST-MBHV7
dc.identifier.urihttp://hdl.handle.net/10754/224711en
dc.description.abstractRecent measurements show that the spectrum is under-utilized by licensed users in wireless communication. Cognitive radio (CR) has been proposed as a suitable solution to manage the inefficient usage of the spectrum and increase coverage area of wireless networks. The concept is based on allowing a group of secondary users (SUs) to share the unused radio spectrum originally owned by the primary user (PUs). The operation of CR should not cause harmful interference to the PUs. In the other hand, relayed transmission increases the coverage and achievable capacity of communication systems and in particular in CR systems. In fact there are many types of cooperative communications, however the two main ones are decode-and-forward (DAF) and amplify-and-forward (AAF). Adaptive relaying scheme is a relaying technique by which the benefits of the amplifying or decode and forward techniques can be achieved by switching the forwarding technique according to the quality of the signal. In this dissertation, we investigate the power allocation for an adaptive relaying protocol (ARP) scheme in cognitive system by maximizing the end-to-end rate and searching the best carriers pairing distribution. The optimization problem is under the interference and power budget constraints. The simulation results confirm the efficiency of the proposed adaptive relaying protocol in comparison to other relaying techniques, and the consequence of the choice of the pairing strategy.en
dc.language.isoenen
dc.subjectOFDMen
dc.subjectARPen
dc.subjectCognitive Radiosen
dc.subjectcooperative modelen
dc.subjectpairingen
dc.subjectMatching Pairingen
dc.titleJoint Subcarrier Pairing and Resource Allocation for Cognitive Network and Adaptive Relaying Strategyen
dc.typeThesisen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division*
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberShihada, Basem*
dc.contributor.committeememberSultan Salem, Ahmed Kamal*
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.nameMaster of Scienceen
refterms.dateFOA2013-05-30T00:00:00Z


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