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On the optimal, fair and channel-aware cognitive radio network reconfiguration

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dc.contributor.author Arkoulis, S en
dc.contributor.author Anifantis, E. en
dc.contributor.author Karyotis, V. en
dc.contributor.author Papavassiliou, S. en
dc.contributor.author Mitrou, N. en
dc.date.accessioned 2014-03-01T02:14:56Z
dc.date.available 2014-03-01T02:14:56Z
dc.date.issued 2013 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30182
dc.subject Joint Channel Assignment and Routing problem en
dc.subject Network reconfiguration en
dc.subject Cognitive Radio Networks en
dc.subject Channel switching en
dc.subject Fairness en
dc.subject MILP en
dc.title On the optimal, fair and channel-aware cognitive radio network reconfiguration en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.comnet.2013.03.004 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.comnet.2013.03.004 en
heal.publicationDate 2013 en
heal.abstract In this work, we focus on the Joint Channel Assignment and Routing (JCAR) problem in Cognitive Radio Networks (CRNs) and especially on the optimal reconfiguration of secondary networks under the presence of primary users. Secondary CRN users need to adapt their transmission channels promptly, while effectively limit additional or escalating system modifications triggered by the intertweaved primary user activity. Our approach takes into consideration the underlying spectrum switching dynamics and concurrently aims at a fair resource allocation among the active network flows. We take an optimization perspective and formulate the JCAR and network reconfiguration problems as mixed integer linear programs, addressing fairness concerns as well. We propose a heuristic approach which is based on a sequential reduced search space methodology, in order to obtain efficiently solutions of otherwise tough and demanding reconfiguration problems. The operation, effectiveness and performance of the proposed mechanisms are evaluated through analysis and simulations under various working conditions. The obtained numerical results indicate the benefits of the proposed schemes in terms of overhead performance and their scaling properties with respect to more realistic and thus demanding topologies. en
heal.publisher Elsevier en
heal.journalName Computer Networks en
dc.identifier.doi 10.1016/j.comnet.2013.03.004 en
dc.identifier.volume 57 en
dc.identifier.issue 8 en
dc.identifier.spage 1739 en
dc.identifier.epage 1757 en


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