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dc.contributor.authorGonzález González, David
dc.contributor.authorHämäläinen, Jyri
dc.contributor.authorYanikomeroglu, Halim
dc.contributor.authorGarcía Lozano, Mario
dc.contributor.authorSenarath, Gamini
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-01-31T12:16:02Z
dc.date.available2017-01-31T12:16:02Z
dc.date.issued2016-10-25
dc.identifier.citationDavid Gonzalez G., Hämäläinen, J., Yanikomeroglu, H., Garcia-Lozano, M., Senarath, G. A novel multiobjective cell switch-off framework for cellular networks. "IEEE access", 25 Octubre 2016, vol. 4, p. 7883-7898.
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2117/100378
dc.description.abstractCell switch-off (CSO) is recognized as a promising approach to reduce the energy consumption in the next-generation cellular networks. However, CSO poses serious challenges not only from the resource allocation perspective but also from the implementation point of view. Indeed, CSO represents a difficult optimization problem due to its NP-complete nature. Moreover, there are a number of important practical limitations in the implementation of CSO schemes, such as the need for minimizing the real-time complexity and the number of on-off/off-on transitions and CSO-induced handovers. This paper introduces a novel approach to CSO based on multiobjective optimization that makes use of the statistical description of the service demand (known by operators). In addition, downlink and uplink coverage criteria are included and a comparative analysis between different models to characterize intercell interference is also presented to shed light on their impact on CSO. The framework distinguishes itself from other proposals in two ways: 1) the number of on-off/off-on transitions as well as handovers are minimized and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible. The results show that the proposed scheme achieves substantial energy savings in small cell deployments, where service demand is not uniformly distributed, without compromising the quality-of-service or requiring heavy real-time processing.
dc.format.extent16 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshEnergy consumption
dc.subject.lcshMobile communication systems
dc.subject.otherPareto efficiency
dc.subject.otherCellular networks
dc.subject.otherEnergy efficiency
dc.subject.otherCell switch-off
dc.subject.otherCSO
dc.subject.otherMultiobjective optimization
dc.titleA novel multiobjective cell switch-off framework for cellular networks
dc.typeArticle
dc.subject.lemacEnergia -- Consum
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils
dc.identifier.doi10.1109/ACCESS.2016.2625743
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7736976/
dc.rights.accessOpen Access
drac.iddocument19332363
dc.description.versionPostprint (published version)
upcommons.citation.authorDavid Gonzalez G., Hämäläinen, J., Yanikomeroglu, H., Garcia-Lozano, M., Senarath, G.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE access
upcommons.citation.volume4
upcommons.citation.startingPage7883
upcommons.citation.endingPage7898


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