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dc.contributor.author | Jiao, Lei | es_ES |
dc.contributor.author | Song, Enbin | es_ES |
dc.contributor.author | Pla, Vicent | es_ES |
dc.contributor.author | Li, Frank Y. | es_ES |
dc.date.accessioned | 2014-04-22T18:28:24Z | |
dc.date.issued | 2013-05 | |
dc.identifier.issn | 0018-9545 | |
dc.identifier.uri | http://hdl.handle.net/10251/37107 | |
dc.description.abstract | In cognitive radio networks (CRNs) with multiple channels, various channel-assembling (ChA) strategies may be applied to secondary users (SUs), resulting in different achieved capacity. However, there is no previous work on determining the capacity upper bound (UB) of ChA for SUs under given system configurations. In this paper, we derive the maximum capacity for CRNs with ChA through Markov chain modeling, considering that primary user (PU) activities are relatively static, compared with SU services. We first deduce a closed-form expression for the maximum capacity in a dynamic ChA strategy and then demonstrate that no other ChA strategy can provide higher capacity than that achieved by this dynamic strategy. © 2012 IEEE. | es_ES |
dc.description.sponsorship | The work of L. Jiao and F. Y. Li was supported in part by the Research Council of Norway through the ECO-boat MOL project under Grant 210426. The work of E. Song was supported in part by the National Natural Science Foundation of China under Grant 60901037 and in part by the Foundation for Basic Research of Sichuan University for Distinguished Young Scholars under Grant 0082604132188. The work of V. Pla was supported by the Spanish Ministerio de Ciencia e Innovacion through Project TIN2010-21378-C02-02. The review of this paper was coordinated by Prof. B. Hamdaoui. | en_EN |
dc.format.extent | 7 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | es_ES |
dc.relation.ispartof | IEEE Transactions on Vehicular Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Channel assembling (ChA) | es_ES |
dc.subject | Cognitive radio networks (CRNs) | es_ES |
dc.subject | Continuous-time Markov chain (CTMC) models | es_ES |
dc.subject | Quasistationary regime (QSR) | es_ES |
dc.subject.classification | INGENIERIA TELEMATICA | es_ES |
dc.title | Capacity Upper Bound of Channel Assembling in Cognitive Radio Networks with Quasistationary Primary User Activities | es_ES |
dc.type | Artículo | es_ES |
dc.embargo.lift | 10000-01-01 | |
dc.embargo.terms | forever | es_ES |
dc.identifier.doi | 10.1109/TVT.2012.2236115 | |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN//210426/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//60901037/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/SCU//0082604132188/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2010-21378-C02-02/ES/COOPERACION Y OPORTUNISMO EN REDES DE ACCESO INALAMBRICAS Y HETEROGENEAS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | 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 | Jiao, L.; Song, E.; Pla, V.; Li, FY. (2013). Capacity Upper Bound of Channel Assembling in Cognitive Radio Networks with Quasistationary Primary User Activities. IEEE Transactions on Vehicular Technology. 62(4):1849-1855. https://doi.org/10.1109/TVT.2012.2236115 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1109/TVT.2012.2236115 | es_ES |
dc.description.upvformatpinicio | 1849 | es_ES |
dc.description.upvformatpfin | 1855 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 62 | es_ES |
dc.description.issue | 4 | es_ES |
dc.relation.senia | 236538 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Sichuan University | es_ES |
dc.contributor.funder | National Natural Science Foundation of China | es_ES |
dc.contributor.funder | Research Council of Norway | es_ES |