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dc.contributor.authorZafar, Ammar
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorChen, Yunfei
dc.contributor.authorRadaydeh, Redha Mahmoud Mesleh
dc.date.accessioned2012-09-16T16:15:27Z
dc.date.available2012-09-16T16:15:27Z
dc.date.issued2012-05-20
dc.identifier.citationZafar A, Alouini M-S, Chen Y, Radaydeh RM (2012) Optimizing Cooperative Cognitive Radio Networks with Opportunistic Access. Journal of Computer Networks and Communications 2012: 1-9. doi:10.1155/2012/294581.
dc.identifier.issn2090-7141
dc.identifier.issn2090-715X
dc.identifier.doi10.1155/2012/294581
dc.identifier.urihttp://hdl.handle.net/10754/244131
dc.description.abstractOptimal resource allocation for cooperative cognitive radio networks with opportunistic access to the licensed spectrum is studied. Resource allocation is based on minimizing the symbol error rate at the receiver. Both the cases of all-participate relaying and selective relaying are considered. The objective function is derived and the constraints are detailed for both scenarios. It is then shown that the objective functions and the constraints are nonlinear and nonconvex functions of the parameters of interest, that is, source and relay powers, symbol time, and sensing time. Therefore, it is difficult to obtain closed-form solutions for the optimal resource allocation. The optimization problem is then solved using numerical techniques. Numerical results show that the all-participate system provides better performance than its selection counterpart, at the cost of greater resources. © 2012 Ammar Zafar et al.
dc.language.isoen
dc.publisherHindawi Limited
dc.relation.urlhttp://www.hindawi.com/journals/jcnc/2012/294581/
dc.rightsArchived with thanks to Journal of Computer Networks and Communications
dc.titleOptimizing Cooperative Cognitive Radio Networks with Opportunistic Access
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalJournal of Computer Networks and Communications
dc.eprint.versionPre-print
dc.contributor.institutionSchool of Engineering, University of Warwick, Coventry, CV4 7AL, United Kingdom
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Texas A and M University, Texas A and M Engineering Building, Education City, Doha, Qatar
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personZafar, Ammar
kaust.personAlouini, Mohamed-Slim
kaust.personRadaydeh, Redha Mahmoud Mesleh
refterms.dateFOA2018-06-14T06:17:40Z
dc.date.published-online2012-05-20
dc.date.published-print2012


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