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dc.contributor.authorHung, HNen_US
dc.contributor.authorLin, YBen_US
dc.contributor.authorPeng, NFen_US
dc.contributor.authorYang, SRen_US
dc.date.accessioned2014-12-08T15:43:24Z-
dc.date.available2014-12-08T15:43:24Z-
dc.date.issued2001-10-01en_US
dc.identifier.issn0733-8716en_US
dc.identifier.urihttp://dx.doi.org/10.1109/49.957310en_US
dc.identifier.urihttp://hdl.handle.net/11536/29382-
dc.description.abstractIn a personal communications service (PCS) network, mobility databases called visitor location registers (VLRs) are utilized to temporarily store the subscription data and the location information for the roaming users. Because of user mobility, it is possible that the VLR is full when a mobile user arrives. Under such a circumstance, the incoming user has no VLR record and thus cannot receive PCS services. This issue is called VLR overflow. To resolve the VLR overflow problem, a VLR record can be selected for replacement when the VLR is full and then the reclaimed storage is used to hold the record of the requesting user. This paper considers the most idle replacement policy to provide services to mobile users without VLR records. In this policy, the record with the longest idle time is selected for replacement. We propose an analytic model to investigate the performance of this replacement policy. The analytic results are validated against simulation experiments. The results indicate that our approach effectively resolves the VLR overflow problem.en_US
dc.language.isoen_USen_US
dc.subjectdatabase overflowen_US
dc.subjectmobility managementen_US
dc.subjectpersonal communications serviceen_US
dc.subjectvisitor location registeren_US
dc.titleResolving mobile database overflow with most idle replacementen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/49.957310en_US
dc.identifier.journalIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONSen_US
dc.citation.volume19en_US
dc.citation.issue10en_US
dc.citation.spage1953en_US
dc.citation.epage1961en_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:000171610700012-
dc.citation.woscount10-
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