Publication:
The RICH Prefetching in Edge Caches for In-Order Delivery to Connected Cars

carlosiii.embargo.terms2019-07-15
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorMahmood, Ahsan
dc.contributor.authorCasetti, Claudio Ettore
dc.contributor.authorChiasserini, Carla Fabiana
dc.contributor.authorGiaccone, Paolo
dc.contributor.authorHärri, Jérôme
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2019-05-24T10:42:14Z
dc.date.available2019-07-15T22:10:04Z
dc.date.issued2019-01-15
dc.description.abstractContent caching on the edge of 5G networks is an emerging and critical feature to quench the thirst for content of future connected cars. However, the tight packaging of 5G cells, the finite storage capacity at the edge, and the need for content availability while driving motivate the need to develop smart edge caching strategies adapted to the mobility characteristics of connected cars. In this paper, we propose a scheme called RoadsIde CacHe (RICH), which optimally caches content at edge nodes where connected vehicles require it most. In particular, our scheme is designed to ensure in-order delivery of content chunks to end users. Unlike blind popularity decisions, the probabilistic caching used by RICH accounts for the user mobility information that the system can realistically acquire. Furthermore, we provide a complete system architecture and define the protocols through which the different system entities can interact. We assess the performance of our approach against state-of-the-art solutions, under realistic mobility datasets and system scenarios. Our RICH edge caching scheme improves significantly the content availability at the caches and reduces the required backhaul bandwidth, with beneficial effects for both the end users and the network operatorsen
dc.description.sponsorshipThis work was supported by the EC H2020 5G-Transformer Project under Grant 761536, in part by the EC H2020 5G-EVE Project under Grant 815074, and in part by the EC H2020 HIGHTS project under Grant 636537.en
dc.format.extent15
dc.identifier.bibliographicCitationMahmood, A., Casetti, C.E., Chiasserini, C.F, Giaccone, P. y Härri, J. (2019). The RICH Prefetching in Edge Caches for In-Order Delivery to Connected Cars. IEEE Transactions on Vehicular Technology, 68 (1), pp. 4-18en
dc.identifier.doihttps://doi.org/10.1109/TVT.2018.2879850
dc.identifier.issn0018-9545
dc.identifier.publicationfirstpage4
dc.identifier.publicationissue1
dc.identifier.publicationlastpage18
dc.identifier.publicationtitleIEEE Transactions on Vehicular Technologyen
dc.identifier.publicationvolume68
dc.identifier.urihttps://hdl.handle.net/10016/28412
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536 (5G-Transformer)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/815074 (5G-EVE)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/636537 (HIGHTS)en
dc.rights© 2019 IEEEen
dc.rights.accessRightsembargoed accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherEdge cachingen
dc.subject.otherPrefetchingen
dc.subject.otherVehicular networksen
dc.titleThe RICH Prefetching in Edge Caches for In-Order Delivery to Connected Carsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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