Publication:
Delay analysis of mixed fronthaul and backhaul traffic under strict priority queueing discipline in a 5G packet transport network

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorGowda, Apurva Shantharaj
dc.contributor.authorHernández Gutiérrez, José Alberto
dc.contributor.authorLarrabeiti López, David
dc.contributor.authorKazovsky, Leonid
dc.date.accessioned2017-11-15T12:43:25Z
dc.date.available2018-06-01T22:00:05Z
dc.date.issued2017-06
dc.description.abstractVirtualization of the base station for the purpose of centralization is being actively studied and researched as an implementation option for 5G mobile networks. Proposed as Cloud radio access network, the technology is expected to facilitate easier operation and maintenance than regular radio access networks. However, the base stations traffic has stringent delay requirements. In this paper, we explore the possibility of multiplexing fronthaul traffic and traditional backhaul traffic as it traverses over the metropolitan network while keeping the average fronthaul queueing delay and jitter under control. We analyze and simulate the cases of a single fronthaul flow and multiple fronthaul flows arriving at the packet switch assuming strict priority for the fronthaul queue. We propose a fronthaul frame aggregation strategy to improve the packet transmission efficiency while keeping the average fronthaul queueing delay and jitter constant regardless of the percentage of fronthaul traffic. While the criteria for aggregation is different for the 2 cases, we show that the optimal number of basic frames to aggregate is between 3-10 frames assuming the Common Public Radio Interface protocol.en
dc.description.sponsorshipThe authors would like to acknowledge the support of projects TIGRE5-CM (grant no. S2013/ICE-2919) and H2020 EU-funded 5G-Crosshaul Project (grant no. 671598) to the development of this work.es
dc.format.extent9es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationTransactions on emerging telecommunications technologiesen
dc.identifier.doihttps://doi.org/10.1002/ett.3168
dc.identifier.issn2161-3915
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue6 (e3168)es
dc.identifier.publicationlastpage9es
dc.identifier.publicationtitleTransactions on Emerging Telecommunications Technologiesen
dc.identifier.publicationvolume28es
dc.identifier.urihttps://hdl.handle.net/10016/25841
dc.identifier.uxxiAR/0000020112
dc.language.isoenges
dc.publisherJohn Wiley & Sons, Ltd.en
dc.relation.projectIDComunidad de Madrid. S2013/ICE-2919 (TIGRE5-CM)es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/671598en
dc.rights© 2017 John Wiley & Sons, Ltd.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherData planeen
dc.subject.other5g-crosshaulen
dc.subject.otherCPRIen
dc.subject.otherRANen
dc.subject.otherFronthaul/backhaul integrationen
dc.subject.otherStrict priorityen
dc.titleDelay analysis of mixed fronthaul and backhaul traffic under strict priority queueing discipline in a 5G packet transport networken
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
delay_TECT_2017_ps.pdf
Size:
1.24 MB
Format:
Adobe Portable Document Format
Download
Collections
DIT - RYSC - Artículos en Revistas Internacionales / International Journals
OpenAIRE: Open Access Infrastructure for Research in Europe