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dc.contributor.authorShen, Sen_US
dc.contributor.authorChang, CJen_US
dc.contributor.authorHuang, CYen_US
dc.contributor.authorBi, Qen_US
dc.date.accessioned2014-12-08T15:38:36Z-
dc.date.available2014-12-08T15:38:36Z-
dc.date.issued2004-09-01en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2004.834702en_US
dc.identifier.urihttp://hdl.handle.net/11536/26407-
dc.description.abstractIn this paper, we propose intelligent call admission control for wideband code-division multiple-access (CDMA) cellular systems to support differentiated quality-of-service (QoS) requirements, guarantee the forced termination probability of handoffs, and maximize the spectrum utilization. The intelligent call admission controller (ICAC) contains a fuzzy call admission processor to make admission decision for a call request by considering QoS measures such as the forced termination (drop call) probability of handoff, the outage probability of all service types, the predicted next-step existing-call interference, the link gain, and the estimated equivalent interference of the call request. The pipeline recurrent neural network (PRNN) is used to accurately predict the next-step existing-call interference, and the fuzzy logic theory is applied to estimate the new/handoff call interference based on knowledge of effective bandwidth method. Simulation results indicate that ICAC achieves system capacity higher than conventional CAC schemes by an amount of more than 10% in both low and high moving speed cases. Moreover, ICAC can cope with the unpredictable statistical fluctuation of wireless multimedia traffic; it always fulfill QoS requirements for all service types and keep the forced termination probability satisfied, while the CAC of multimedia calls (MCAC) and SIR-based CAC with intercell interference prediction (PSIR-CAC) fail to adapt to the variation of traffic conditions.en_US
dc.language.isoen_USen_US
dc.subjectcall admission controlen_US
dc.subjectequivalent interferenceen_US
dc.subjectfuzzy logicen_US
dc.subjecthandoffen_US
dc.subjectneural networken_US
dc.titleIntelligent call admission control for wideband CDMA cellular systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TWC.2004.834702en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.citation.volume3en_US
dc.citation.issue5en_US
dc.citation.spage1810en_US
dc.citation.epage1821en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000224496200055-
dc.citation.woscount14-
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