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

e-Archivo Repository

Show simple item record

dc.contributor.author Mahmood, Ahsan
dc.contributor.author Casetti, Claudio Ettore
dc.contributor.author Chiasserini, Carla Fabiana
dc.contributor.author Giaccone, Paolo
dc.contributor.author Härri, Jérôme
dc.date.accessioned 2019-05-24T10:42:14Z
dc.date.available 2019-07-15T22:10:04Z
dc.date.issued 2019-01-15
dc.identifier.bibliographicCitation Mahmood, 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. 4-18
dc.identifier.issn 0018-9545
dc.identifier.uri http://hdl.handle.net/10016/28412
dc.description.abstract Content 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 operators
dc.description.sponsorship This 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.
dc.format.extent 15
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2019 IEEE
dc.subject.other Edge caching
dc.subject.other Prefetching
dc.subject.other Vehicular networks
dc.title The RICH Prefetching in Edge Caches for In-Order Delivery to Connected Cars
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TVT.2018.2879850
dc.rights.accessRights embargoedAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761536 (5G-Transformer)
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/815074 (5G-EVE)
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/636537 (HIGHTS)
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 4
dc.identifier.publicationissue 1
dc.identifier.publicationlastpage 18
dc.identifier.publicationtitle IEEE Transactions on Vehicular Technology
dc.identifier.publicationvolume 68
carlosiii.embargo.terms 2019-07-15
dc.contributor.funder European Commission
 Find Full text

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record