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dc.contributor.authorLiao, CYen_US
dc.contributor.authorYu, Fen_US
dc.contributor.authorLeung, VCMen_US
dc.contributor.authorChang, CJen_US
dc.date.accessioned2014-12-08T15:17:50Z-
dc.date.available2014-12-08T15:17:50Z-
dc.date.issued2006-01-01en_US
dc.identifier.issn0733-8716en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JSAC.2005.858887en_US
dc.identifier.urihttp://hdl.handle.net/11536/12930-
dc.description.abstractTo balance the time-varying traffic load between cells, caused by user mobility and diverse applications, it is crucial for next-generation code-division multiple-access (CDMA) cellular networks to configure cell coverage and capacity dynamically. In this paper, we show that pilot power allocation is highly coupled to other facets of radio resource management. We propose a novel dynamic cell configuration scheme for multimedia CDMA cellular networks, based on reinforcement-learning, which takes into account pilot, soft handoff, and maximum link power allocations, as well as call admission control mechanisms. Simulation results demonstrate the effectiveness of the proposed scheme in situation-aware CDMA networks.en_US
dc.language.isoen_USen_US
dc.subjectcode-division multiaccessen_US
dc.subjectland mobile radio cellular systemsen_US
dc.subjectMarkov processesen_US
dc.titleA novel dynamic cell configuration scheme in next-generation situation-aware CDMA networksen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.doi10.1109/JSAC.2005.858887en_US
dc.identifier.journalIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONSen_US
dc.citation.volume24en_US
dc.citation.issue1en_US
dc.citation.spage16en_US
dc.citation.epage25en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000234679900003-
Appears in Collections:Conferences Paper


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