Publication:
On Enabling 5G Automotive Systems Using Follow Me edge-Cloud Concept

Simple item page
dc.contributor.authorAissioui, Abdelkader
dc.contributor.authorKsentini, Adlen
dc.contributor.authorGueroui, Abdelhak Mourad
dc.contributor.authorTaleb, Tarik
dc.date.accessioned2018-07-05T09:46:27Z
dc.date.available2018-07-05T09:46:27Z
dc.date.issued2018-06-18
dc.description.abstractOne of the key targets of the upcoming 5G system is to build a mobile network architecture that supports not only classical mobile broadband applications (i.e., Internet and IMS), but also vertical industry services, such as those of automotive systems, e-health, public safety, and smart grid. Vertical industry is known to have specific needs that cannot be sustained by the current cellular networks. More notably, automotive systems require strict quality of service in terms of ultrashort latency for vehicle-toinfrastructure/ network (V2I/N) communications. In this paper, we introduce the Follow Me edge-Cloud (FMeC) concept, leveraging the mobile edge computing (MEC) architecture to sustain requirements of the 5G automotive systems. Assuming that automotive services are deployed on MEC entities, FMeC ensures low-latency access to these services by guaranteeing that vehicles (i.e., as well as user equipment on board vehicles) always connect to nearest automotive service. Besides the FMeC architecture, our contribution in this paper consists in presenting a projection of the FMeC solution on an automated driving use case that integrates automotive and Telco infrastructures, to realize the vision of future 5G automotive systems.We introduce the envisioned software defined networking/OpenFlow-based architecture and our mobility-aware framework based on a set of building blocks that permit achieving the automated driving requirements within 5G network. The evaluation results, obtained conjointly through theoretical analysis and computer simulation, showthat our proposed solution outperforms baseline approaches in meeting the automated driving latency requirement and minimizing the incurred global cost.en
dc.description.sponsorshipThis work was supported in part by the Academy of Finland Project CSN under Grant 311654 and in part by the European Union’s Horizon 2020 research and innovation program under the 5G!Pagoda project under Grant 723172 and EU H2020 5G-Transformer Project under Grant 761536.en
dc.format.extent15
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationAissioui, A., Ksentini, A., Gueroui, A.M, Taleb, T. (2018). On Enabling 5G Automotive Systems Using Follow Me edge-Cloud Concept. IEEE Transactions on Vehicular Technology, 67(6), pp. 5302-5316.en
dc.identifier.doihttps://doi.org/10.1109/TVT.2018.2805369
dc.identifier.issn1939-9359
dc.identifier.issnPrint 0018-9545
dc.identifier.publicationfirstpage5302
dc.identifier.publicationissue6
dc.identifier.publicationlastpage5316
dc.identifier.publicationvolume67
dc.identifier.urihttps://hdl.handle.net/10016/27140
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/723172
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536
dc.rights© 2018 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherMECen
dc.subject.otherSDNen
dc.subject.otherAutomotive drivingen
dc.subject.otherVerticalsen
dc.subject.other5Gen
dc.subject.otherService mobilityen
dc.subject.otherFollow me edgeen
dc.subject.otherFollow me clouden
dc.titleOn Enabling 5G Automotive Systems Using Follow Me edge-Cloud Concepten
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
enabling_IEEETVT_2018_ps.pdf
Size:
2.49 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
OpenAIRE: Open Access Infrastructure for Research in Europe