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FluidRAN: Optimized vRAN/MEC Orchestration

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dc.contributor.authorGarcia-Saavedra, Andrés
dc.contributor.authorCosta-Pérez, Xavier
dc.contributor.authorLeith, Douglas J.
dc.contributor.authorIosifidis, George
dc.contributor.funderEuropean Commission
dc.date.accessioned2019-03-19T10:32:59Z
dc.date.available2019-03-19T10:32:59Z
dc.date.issued2018-10-11
dc.descriptionProceeding of: IEEE Conference on Computer Communications, INFOCOM 2018, Honolulu, Hawai, USA, 16-19 April 2018en
dc.description.abstractVirtualized Radio Access Network (vRAN) architectures constitute a promising solution for the densification needs of 5G networks, as they decouple Base Stations (BUs) functions from Radio Units (RUs) allowing the processing power to be pooled at cost-efficient Central Units (CUs). vRAN facilitates the flexible function relocation (split selection), and therefore enables splits with less stringent network requirements compared to state-of-the-art fully Centralized (C-RAN) systems. In this paper, we study the important and challenging vRAN design problem. We propose a novel modeling approach and a rigorous analytical framework, FluidRAN, that minimizes RAN costs by jointly selecting the splits and the RUs-CUs routing paths. We also consider the increasingly relevant scenario where the RAN needs to support multi-access edge computing (MEC) services, that naturally favor distributed RAN (D-RAN) architectures. Our framework provides a joint vRAN/MEC solution that minimizes operational costs while satisfying the MEC needs. We follow a data-driven evaluation method, using topologies of 3 operational networks. Our results reveal that (i) pure C-RAN is rarely a feasible upgrade solution for existing infrastructure, (ii) FluidRAN achieves significant cost savings compared to D-RAN systems, and (iii) MEC can increase substantially the operator’s cost as it pushes vRAN function placement back to RUs.en
dc.description.sponsorshipThis work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 671598 (5G-Crosshaul project) and 761536 (5G-Transformer project), and from Science Foundation Ireland (SFI) under Grant Number 17/CDA/4760en
dc.format.extent8
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE Conference on Computer Communications, INFOCOM 2018 [Proceedings], 9 Pp.en
dc.identifier.doihttps://www.doi.org/10.1109/INFOCOM.2018.8486243
dc.identifier.isbn978-1-5386-4128-6 (Electronic)
dc.identifier.isbn978-1-5386-4129-3 (PoD)
dc.identifier.publicationfirstpage2366
dc.identifier.publicationlastpage2374
dc.identifier.publicationtitleIEEE Conference on Computer Communications, INFOCOM 2018 [Proceedings]en
dc.identifier.urihttps://hdl.handle.net/10016/28208
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate16-19 April 2018
dc.relation.eventplaceHonolulu, Hawai, EEUUen
dc.relation.eventtitleIEEE Conference on Computer Communications, INFOCOM 2018en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/671598
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536
dc.rights© 2018 IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherDelaysen
dc.subject.otherCopperen
dc.subject.otherRoutingen
dc.subject.otherTopologyen
dc.subject.otherComputational modelingen
dc.subject.otherRadio access networksen
dc.subject.other5G mobile communicationen
dc.titleFluidRAN: Optimized vRAN/MEC Orchestrationen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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