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dc.contributor.authorTsai, HMen_US
dc.contributor.authorLin, YBen_US
dc.date.accessioned2014-12-08T15:42:17Z-
dc.date.available2014-12-08T15:42:17Z-
dc.date.issued2002-07-01en_US
dc.identifier.issn0018-9340en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TC.2002.1017697en_US
dc.identifier.urihttp://hdl.handle.net/11536/28701-
dc.description.abstractThis paper proposes an analytic model to compute the loss probability for Wireless Local Loop (WILL) with a finite number of subscribers. The number of trunks between the WILL concentrator and the base station controller is less than the total number of radio links in the WILL. This model is validated against the simulation results. The execution of our model is efficient compared with simulation. However, its time complexity is higher than several existing analytic models that approximate the loss probability for WILL. Therefore, we design an efficient WLL network planning procedure (in terms of time complexity and accuracy) that utilizes the approximate analytic models to provide small ranges for selecting the values of system parameters. Our model is then used to accurately search the operation points of WILL within the small ranges of the system parameter values. This paper proves that the performance of WILL with limited trunk capacity and finite subscriber population is not affected by the call holding time distributions. Based on our model, we illustrate WLL design guidelines with several numerical examples.en_US
dc.language.isoen_USen_US
dc.subjectloss probabilityen_US
dc.subjectEngset product formen_US
dc.subjectsupplemented generalized semi-Markov processen_US
dc.subjectwireless local loopen_US
dc.titleModeling wireless local loop with general call holding times and finite number of subscribersen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TC.2002.1017697en_US
dc.identifier.journalIEEE TRANSACTIONS ON COMPUTERSen_US
dc.citation.volume51en_US
dc.citation.issue7en_US
dc.citation.spage775en_US
dc.citation.epage786en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000176493300004-
dc.citation.woscount2-
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