Mostrar el registro sencillo del ítem

dc.contributor.authorLuna, Francisco
dc.contributor.authorLuque-Baena, Rafael Marcos 
dc.contributor.authorMartínez, Jesús
dc.contributor.authorPadilla, Pablo
dc.contributor.authorValenzuela-Valdés, Juan Francisco
dc.date.accessioned2018-07-16T11:17:17Z
dc.date.available2018-07-16T11:17:17Z
dc.date.created2018-07-09
dc.date.issued2018-07-16
dc.identifier.urihttps://hdl.handle.net/10630/16274
dc.description© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.description.abstractThe power consumption foreseen for 5G networks is expected to be substantially greater than that of 4G systems, mainly because of the ultra-dense deployments required to meet the upcoming traffic demands. This paper deals with a multi- objective formulation of the Cell Switch-Off (CSO) problem, a well-known and effective approach to save energy in such dense scenarios, which is addressed with an accurate, yet rather unknown multi-objective metaheuristic called MOCell (multi- objective cellular genetic algorithm). It has been evaluated over a different set of networks of increasing densification levels. The results have shown that MOCell is able to reach major energy savings when compared to a widely used multi-objective algorithm.en_US
dc.description.sponsorshipTIN2016-75097-P Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectAlgoritmos genéticos - Congresosen_US
dc.subject.otherEficiencia energéticaen_US
dc.subject.otherApagado de celdasen_US
dc.subject.other5Gen_US
dc.subject.otherOptimización multi-objetivoen_US
dc.subject.otherMetaheurísticasen_US
dc.subject.otherAlgoritmo genético celularen_US
dc.titleAddressing the 5G cell switch-off problem with a multi-objective cellular genetic algorithmen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleIEEE 5G World Forumen_US
dc.relation.eventplaceSanta Clara, Estados Unidosen_US
dc.relation.eventdate9 de julio de 2018en_US
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.ccAttribution-NoDerivatives 4.0 Internacional*


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional