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dc.contributor.authorWang, Li-Chunen_US
dc.contributor.authorWang, Chung-Weien_US
dc.contributor.authorAdachi, Fumiyukien_US
dc.date.accessioned2014-12-08T15:11:50Z-
dc.date.available2014-12-08T15:11:50Z-
dc.date.issued2011-04-01en_US
dc.identifier.issn0733-8716en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JSAC.2011.110408en_US
dc.identifier.urihttp://hdl.handle.net/11536/9086-
dc.description.abstractIn this paper, we present an analytical framework to design system parameters for load-balancing multiuser spectrum decision schemes in cognitive radio (CR) networks. Unlike the non-load-balancing methods that multiple secondary users may contend for the same channel, the considered load-balancing schemes can distribute the traffic loads of secondary users to multiple channels. Based on the preemptive resume priority (PRP) M/G/1 queueing theory, a spectrum decision analytical model is proposed to evaluate the effects of multiple interruptions from the primary user during each link connection, the sensing errors (i.e., missed detection and false alarm) of the secondary users, and the heterogeneous channel capacity. With the objective of minimizing the overall system time of the secondary users, we derive the optimal number of candidate channels and the optimal channel selection probability for the sensing-based and the probability-based spectrum decision schemes, respectively. We find that the probability-based scheme can yield a shorter overall system time compared to the sensing-based scheme when the traffic loads of the secondary users is light, whereas the sensing-based scheme performs better in the condition of heavy traffic loads. If the secondary users can intelligently adopt the best spectrum decision scheme according to sensing time and traffic conditions, the overall system time can be improved by 50% compared to the existing methods.en_US
dc.language.isoen_USen_US
dc.subjectCognitive radioen_US
dc.subjectspectrum decisionen_US
dc.subjectchannel selectionen_US
dc.subjectoverall system timeen_US
dc.subjectpreemptionen_US
dc.subjectqueueing theoryen_US
dc.titleLoad-Balancing Spectrum Decision for Cognitive Radio Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JSAC.2011.110408en_US
dc.identifier.journalIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONSen_US
dc.citation.volume29en_US
dc.citation.issue4en_US
dc.citation.spage757en_US
dc.citation.epage769en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000288762300008-
dc.citation.woscount28-
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