Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78341
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWu, SNen_US
dc.creatorZhang, JHen_US
dc.creatorZhang, RQen_US
dc.date.accessioned2018-09-28T01:16:16Z-
dc.date.available2018-09-28T01:16:16Z-
dc.identifier.issn0030-364xen_US
dc.identifier.urihttp://hdl.handle.net/10397/78341-
dc.language.isoenen_US
dc.publisherInstitute for Operations Research and the Management Sciencesen_US
dc.rights© 2018, INFORMSen_US
dc.subjectSpectrum managementen_US
dc.subjectMany-server queuesen_US
dc.subjectFluid approximationen_US
dc.subjectAveraging principleen_US
dc.titleManagement of a shared-spectrum network in wireless communicationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1119en_US
dc.identifier.epage1135en_US
dc.identifier.volume66en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1287/opre.2017.1707en_US
dcterms.abstractWe consider a band of the electromagnetic spectrum with a finite number of identical channels shared by both licensed and unlicensed users. Such a network differs from most many-server, two-class queues in service systems, including call centers, because of the restrictions imposed on the unlicensed users to limit interference to the licensed users. We first approximate the key performance indicators-namely the throughput rate of the system and the delay probability of the licensed users under the asymptotic regime, which requires the analysis of both scaled and unsealed processes simultaneously using the averaging principle. Our analysis reveals a number of distinctive properties of the system. For example, sharing does not affect the level of service provided to the licensed users in an asymptotic sense even when the system is critically loaded. We then study the optimal sharing decisions of the system to maximize the system throughput rate while maintaining the delay probability of the licensed users below a certain level when the system is overloaded. Finally, we extend our study to systems with time-varying arrival rates and propose a diffusion approximation to complement our fluid one.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOperations research, July-Aug. 2018, v. 66, no. 4, p. 1119-1135en_US
dcterms.isPartOfOperations researchen_US
dcterms.issued2018-
dc.identifier.isiWOS:000441556300015-
dc.identifier.eissn1526-5463en_US
dc.description.validate201809 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1613, LMS-0297-
dc.identifier.SubFormID45615-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS21725714-
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