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dc.contributor.authorMuñoz Medina, Olga
dc.contributor.authorPascual Iserte, Antonio
dc.contributor.authorVidal Manzano, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2015-11-19T17:46:50Z
dc.date.available2015-11-19T17:46:50Z
dc.date.issued2015-10
dc.identifier.citationMuñoz, O., Pascual Iserte, A., Vidal, J. Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading. "IEEE transactions on vehicular technology", Octubre 2015, vol. 64, núm. 10, p. 4738-4755.
dc.identifier.issn0018-9545
dc.identifier.urihttp://hdl.handle.net/2117/79500
dc.description.abstractProviding femto access points (FAPs) with computational capabilities will allow (either total or partial) offloading of highly demanding applications from smartphones to the so-called femto-cloud. Such offloading promises to be beneficial in terms of battery savings at the mobile terminal (MT) and/or in latency reduction in the execution of applications. However, for this promise to become a reality, the energy and/or the time required for the communication process must be compensated by the energy and/or the time savings that result from the remote computation at the FAPs. For this problem, we provide in this paper a framework for the joint optimization of the radio and computational resource usage exploiting the tradeoff between energy consumption and latency. Multiple antennas are assumed to be available at the MT and the serving FAP. As a result of the optimization, the optimal communication strategy (e.g., transmission power, rate, and precoder) is obtained, as well as the optimal distribution of the computational load between the handset and the serving FAP. This paper also establishes the conditions under which total or no offloading is optimal, determines which is the minimum affordable latency in the execution of the application, and analyzes, as a particular case, the minimization of the total consumed energy without latency constraints.
dc.format.extent18 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Gestió de l'energia::Estalvi energètic
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshCloud computing
dc.subject.lcshEnergy conservation
dc.subject.otherBattery savings
dc.subject.otherEnergy efficiency
dc.subject.otherEnergy-latency tradeoff
dc.subject.otherFemto-cloud
dc.subject.otherMultiple-input multiple-output (MIMO)
dc.subject.otherOffloading
dc.subject.otherWireless mobile communications
dc.subject.otherOffloading
dc.titleOptimization of radio and computational resources for energy efficiency in latency-constrained application offloading
dc.typeArticle
dc.subject.lemacComputació en núvol
dc.subject.lemacEnergia -- Estalvi
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/TVT.2014.2372852
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6963473
dc.rights.accessOpen Access
drac.iddocument17239300
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/318784/EU/Distributed computing, storage and radio resource allocation over cooperative femtocells/TROPIC
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/6PN/TEC2011-29006-C03-02
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/318306/EU/Network of Excellence in Wireless COMmunications #/NEWCOM#
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/PRI2010-2013/2014SGR60
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TEC2013-41315-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TEC2013-41315-R
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/247733/EU/Energy Aware Radio and neTwork tecHnologies/EARTH
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/318784/EU/Distributed computing, storage and radio resource allocation over cooperative femtocells/TROPIC
upcommons.citation.authorMuñoz, O.; Pascual Iserte, A.; Vidal, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE transactions on vehicular technology
upcommons.citation.volume64
upcommons.citation.number10
upcommons.citation.startingPage4738
upcommons.citation.endingPage4755


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