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dc.contributor.authorHung, HNen_US
dc.contributor.authorLee, PCen_US
dc.contributor.authorLin, YBen_US
dc.date.accessioned2014-12-08T15:16:38Z-
dc.date.available2014-12-08T15:16:38Z-
dc.date.issued2006-05-01en_US
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TVT.2006.874578en_US
dc.identifier.urihttp://hdl.handle.net/11536/12271-
dc.description.abstractIn a mobile telecommunications network, the period when a mobile station (MS) resides in a cell (the radio coverage of a base station) is called the cell residence time of that MS. The period between when a call arrives at the MS and when the MS moves out the cell is called the excess life of the cell residence time for that MS. In performance evaluation of a mobile telecommunications network, it is important to derive the excess life distribution from the cell residence times. This distribution determines if a connected call will be handed over to a new cell, and therefore significantly affects the call dropping probability of the network. In mobile-telecommunications-network simulation, generating the excess-life random numbers is not a trivial task, which has not been addressed in the literature. This paper shows how to generate the random numbers from the excess life distribution, and develop the excess-life random number generation procedures for cell residence times with gamma, Pareto, lognormal, and Weibull distributions. This paper indicates that the generated random numbers closely match the true excess-life distributions.en_US
dc.language.isoen_USen_US
dc.subjectcell residence timeen_US
dc.subjectexcess lifeen_US
dc.subjecthandoveren_US
dc.subjectmobility managementen_US
dc.titleRandom number generation for excess life of mobile user residence timeen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TVT.2006.874578en_US
dc.identifier.journalIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYen_US
dc.citation.volume55en_US
dc.citation.issue3en_US
dc.citation.spage1045en_US
dc.citation.epage1050en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000237849600032-
dc.citation.woscount7-
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