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dc.citation.endPage 585 -
dc.citation.number 8 -
dc.citation.startPage 573 -
dc.citation.title PERFORMANCE EVALUATION -
dc.citation.volume 65 -
dc.contributor.author Lee, Donghwan -
dc.contributor.author Choi, Jin-Ghoo -
dc.contributor.author Joo, Changhee -
dc.contributor.author Bahk, Saewoong -
dc.date.accessioned 2023-12-22T08:38:17Z -
dc.date.available 2023-12-22T08:38:17Z -
dc.date.created 2015-01-05 -
dc.date.issued 2008-07 -
dc.description.abstract Admission control for handoff drops is a key resource management technique in wireless multimedia networks. While several adaptive schemes have been studied in the literature, little effort has been made for their analysis due to difficulty in mathematical modeling. Our main contribution is the proposal of a methodology for analyzing the Markov chain that is created when modeling a simple adaptive bandwidth reservation mechanism. For this purpose, we decompose the Markov chain into two levels: intra-domain for the analysis of equilibrium states and inter-domain for the analysis of transient states. This hierarchical decomposition provides an exact solution with significantly reduced computational complexity. (c) 2007 Elsevier B.V. All rights reserved. -
dc.identifier.bibliographicCitation PERFORMANCE EVALUATION, v.65, no.8, pp.573 - 585 -
dc.identifier.doi 10.1016/j.peva.2007.10.005 -
dc.identifier.issn 0166-5316 -
dc.identifier.scopusid 2-s2.0-44149110945 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9830 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=44149110945 -
dc.identifier.wosid 000257014500002 -
dc.language 영어 -
dc.publisher ELSEVIER SCIENCE BV -
dc.title Hierarchical Markov chain analysis of an adaptive bandwidth reservation algorithm in wireless communication systems -
dc.type Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor hierarchical Markov chain analysis -
dc.subject.keywordAuthor handoff -
dc.subject.keywordAuthor admission control -
dc.subject.keywordAuthor probabilistic QoS guarantee -

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