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dc.contributor.author | Tello Oquendo, Luis Patricio | es_ES |
dc.contributor.author | Pla, Vicent | es_ES |
dc.contributor.author | Martínez Bauset, Jorge | es_ES |
dc.contributor.author | Casares Giner, Vicente | es_ES |
dc.date.accessioned | 2017-06-16T10:59:09Z | |
dc.date.available | 2017-06-16T10:59:09Z | |
dc.date.issued | 2016-07-15 | |
dc.identifier.issn | 0140-3664 | |
dc.identifier.uri | http://hdl.handle.net/10251/83061 | |
dc.description.abstract | The complexity of modern communication networks makes the solution of the Markov chains that model their traffic dynamics, and therefore, the determination of their performance parameters, computationally costly. However, a common characteristic of these networks is that they manage multiple types of traffic flows operating at different time-scales. This time-scale separation can be exploited to substantially reduce the computational cost. Following this approach, we propose a novel solution method named Absorbing Markov Chains Approximation (AMCA) based on the transient regime analysis. Briefly, we model the time the system spends in a series of subsets of states by a phase-type distribution and, for each of them, determine the probabilities of finding the system in each state of this subset until absorption. We compare the AMCA performance to that obtained by classical methods and by a recently proposed approach that aims at generalizing the conventional quasi-stationary approximation. We find that AMCA has a more predictable behavior, is applicable to a wider range of time-scale separations, and achieves higher accuracy for a given computational cost. | es_ES |
dc.description.sponsorship | This research has been supported in part by the Ministry of Economy and Competitiveness of Spain under Grants TIN2013-47272-C2-1-R and TEC2015-71932-REDT. The research of L. Tello-Oquendo was supported in part by Programa de Ayudas de Investigacion y Desarrollo (PAID) of the Universitat Politecnica de Valencia. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Computer Communications | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Cognitive radio networks | es_ES |
dc.subject | Performance analysis | es_ES |
dc.subject | PH distribution | es_ES |
dc.subject | Time-scale separation | es_ES |
dc.subject | Wireless networks | es_ES |
dc.subject.classification | INGENIERIA TELEMATICA | es_ES |
dc.title | Performance analysis of wireless networks based on time-scale separation: A new iterative method | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.comcom.2016.04.004 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2013-47272-C2-1-R/ES/PLATAFORMA DE SERVICIOS PARA CIUDADES INTELIGENTES CON REDES M2M DENSAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TEC2015-71932-REDT/ES/ELASTIC NETWORKS: NUEVOS PARADIGMAS DE REDES ELASTICAS PARA UN MUNDO RADICALMENTE BASADO EN CLOUD Y FOG COMPUTING/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació | es_ES |
dc.description.bibliographicCitation | Tello Oquendo, LP.; Pla, V.; Martínez Bauset, J.; Casares Giner, V. (2016). Performance analysis of wireless networks based on time-scale separation: A new iterative method. Computer Communications. 86:40-48. https://doi.org/10.1016/j.comcom.2016.04.004 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/ 10.1016/j.comcom.2016.04.004 | es_ES |
dc.description.upvformatpinicio | 40 | es_ES |
dc.description.upvformatpfin | 48 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 86 | es_ES |
dc.relation.senia | 312242 | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |