Optimizing Cooperative Cognitive Radio Networks with Opportunistic Access

Handle URI:
http://hdl.handle.net/10754/244131
Title:
Optimizing Cooperative Cognitive Radio Networks with Opportunistic Access
Authors:
Zafar, Ammar ( 0000-0001-8382-7625 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Chen, Yunfei; Radaydeh, Redha M.
Abstract:
Optimal 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Citation:
Zafar 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.
Publisher:
Hindawi Publishing Corporation
Journal:
Journal of Computer Networks and Communications
Issue Date:
16-Sep-2012
DOI:
10.1155/2012/294581
Type:
Article
ISSN:
2090-7141; 2090-715X
Additional Links:
http://www.hindawi.com/journals/jcnc/2012/294581/
Appears in Collections:
Articles; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZafar, Ammaren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorChen, Yunfeien
dc.contributor.authorRadaydeh, Redha M.en
dc.date.accessioned2012-09-16T16:15:27Z-
dc.date.available2012-09-16T16:15:27Z-
dc.date.issued2012-09-16en
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.en
dc.identifier.issn2090-7141en
dc.identifier.issn2090-715Xen
dc.identifier.doi10.1155/2012/294581en
dc.identifier.urihttp://hdl.handle.net/10754/244131en
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.en
dc.language.isoenen
dc.publisherHindawi Publishing Corporationen
dc.relation.urlhttp://www.hindawi.com/journals/jcnc/2012/294581/en
dc.rightsArchived with thanks to Journal of Computer Networks and Communicationsen
dc.titleOptimizing Cooperative Cognitive Radio Networks with Opportunistic Accessen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalJournal of Computer Networks and Communicationsen
dc.eprint.versionPre-printen
dc.contributor.institutionSchool of Engineering, University of Warwick, Coventry, CV4 7AL, United Kingdomen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Texas A and M University, Texas A and M Engineering Building, Education City, Doha, Qataren
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorZafar, Ammaren
kaust.authorAlouini, Mohamed-Slimen
kaust.authorRadaydeh, Redha Mahmoud Meslehen
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