Optimization of 5G Networks for Smart Logistics.

dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.contributor.authorKhatib, Emil Jatib
dc.contributor.authorBarco-Moreno, Raquel
dc.date.accessioned2024-10-03T11:31:25Z
dc.date.available2024-10-03T11:31:25Z
dc.date.issued2021-03-22
dc.departamentoIngeniería de Comunicaciones
dc.description.abstractIndustry 4.0 is generalizing the use of wireless connectivity in manufacturing and logistics. Specifically, in Smart Logistics, novel Industry 4.0 technologies are used to enable agile supply chains, with reduced management, energy and storage costs. Cellular networks allow connectivity throughout all the scenarios where logistics processes take place, each having their own challenges. This paper explores such scenarios and challenges, and proposes 5G technology as a global unified connectivity solution. Moreover, this paper proposes a system for exploiting the application-specific optimization capabilities of 5G networks to better cater for the needs of Smart Logistics. An application traffic modeling process is proposed, along with a proactive approach to network optimization that can improve the Quality of Service and reduce connectivity costs.es_ES
dc.identifier.citationKhatib, E.J.; Barco, R. Optimization of 5G Networks for Smart Logistics. Energies 2021, 14, 1758es_ES
dc.identifier.doi10.3390/en14061758
dc.identifier.urihttps://hdl.handle.net/10630/34290
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRedes de banda anchaes_ES
dc.subjectTelecomunicacioneses_ES
dc.subject.otherIndustry 4.0es_ES
dc.subject.other5Ges_ES
dc.subject.otherLogisticses_ES
dc.subject.otherIndustrial IoTes_ES
dc.titleOptimization of 5G Networks for Smart Logistics.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc933e578-ad80-410f-88c2-f0dbdaa6cf72
relation.isAuthorOfPublication.latestForDiscoveryc933e578-ad80-410f-88c2-f0dbdaa6cf72

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