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dc.contributor.authorChang, MFen_US
dc.contributor.authorLin, YBen_US
dc.contributor.authorYang, WZen_US
dc.date.accessioned2014-12-08T15:43:41Z-
dc.date.available2014-12-08T15:43:41Z-
dc.date.issued2001-07-01en_US
dc.identifier.issn1389-1286en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S1389-1286(01)00148-7en_US
dc.identifier.urihttp://hdl.handle.net/11536/29547-
dc.description.abstractPrepaid service has become an important mobile application with rapid growth for subscription rate in the recent years. Implementation of prepaid service may generate large network traffic that significantly affects the performance of a mobile network. This paper studies the hot billing solution for prepaid service. We investigate how the amount of prepaid credit and the Frequency of call detail record (CDR) transmissions affect network signaling and potential bad debt that a service provider may bear. Our study suggests that a prepaid service provider should encourage customers to buy large prepaid credits by giving them discounts. Furthermore. based on call traffic, an optimal CDR transmission frequency can be found by using our modeling technique. (C) 2001 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectbad debten_US
dc.subjectcall detail recorden_US
dc.subjecthot billingen_US
dc.subjectprepaid service centeren_US
dc.subjectrechargeen_US
dc.titlePerformance of hot billing mobile prepaid serviceen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S1389-1286(01)00148-7en_US
dc.identifier.journalCOMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKINGen_US
dc.citation.volume36en_US
dc.citation.issue2-3en_US
dc.citation.spage269en_US
dc.citation.epage290en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000168793400010-
dc.citation.woscount6-
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