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Probabilistic framework and performance evaluation for prioritized call admission control in next generation networks

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dc.contributor.author Tsiropoulos, GI en
dc.contributor.author Stratogiannis, DG en
dc.contributor.author Kanellopoulos, JD en
dc.contributor.author Cottis, PG en
dc.date.accessioned 2014-03-01T01:36:40Z
dc.date.available 2014-03-01T01:36:40Z
dc.date.issued 2011 en
dc.identifier.issn 0140-3664 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/21391
dc.subject Call admission control en
dc.subject Fairness en
dc.subject Multi service class en
dc.subject Next generation networks (NGN) en
dc.subject Quality of service (QoS) en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Telecommunications en
dc.subject.other Call admission control en
dc.subject.other Fairness en
dc.subject.other Multi-services en
dc.subject.other Next generation network en
dc.subject.other Quality of service (QoS) en
dc.subject.other Bandwidth en
dc.subject.other Blocking probability en
dc.subject.other Markov processes en
dc.subject.other Quality control en
dc.subject.other Quality of service en
dc.subject.other Telecommunication services en
dc.subject.other Telecommunication networks en
dc.title Probabilistic framework and performance evaluation for prioritized call admission control in next generation networks en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.comcom.2010.01.016 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.comcom.2010.01.016 en
heal.language English en
heal.publicationDate 2011 en
heal.abstract Next generation networks (NGN) are designed to support a wide range of applications with various service classes (SCs) guaranteeing the respective quality of service (QoS) levels. Since such networks are resource constrained, call admission control (CAC) is imperative to achieve the required QoS levels. In this paper, a new probabilistic framework for CAC schemes is proposed based on controlling each SC independently by admitting low priority SC calls with a variable imposed probability. The incorporation of such a probabilistic framework is considered under a bandwidth-centric approach named probabilistic bandwidth reservation scheme (PBRS). Though equal service times are usually assumed in the literature, the present analysis considers SCs of different service times. By employing Markov chain analysis to treat the independent SCs that correspond to different call specifications, analytical expressions for the call blocking probabilities (CBPs) are derived. The performance of the proposed CAC scheme is studied not only with regard to CBP but, also, taking into account the priorities assigned to different SCs as well as fairness among various SCs and total network throughput. The proposed probabilistic framework allows the dynamic control of network resources considering also priority assignment, fairness and throughput. Analytical results concerning delay tolerant (DT) and delay-non-tolerant (DNT) traffic have been obtained applying the proposed scheme. Moreover, the relevant simulations have verified the accuracy of the proposed analysis. (C) 2010 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Computer Communications en
dc.identifier.doi 10.1016/j.comcom.2010.01.016 en
dc.identifier.isi ISI:000291417200002 en
dc.identifier.volume 34 en
dc.identifier.issue 9 en
dc.identifier.spage 1045 en
dc.identifier.epage 1054 en


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