Publication: Fronthaul network modeling and dimensioning meeting ultra-low latency requirements for 5G
dc.affiliation.dpto | UC3M. Departamento de Ingeniería Telemática | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Network Technologies | es |
dc.contributor.author | Otero Pérez, Gabriel | |
dc.contributor.author | Hernández Gutiérrez, José Alberto | |
dc.contributor.author | Larrabeiti López, David | |
dc.date.accessioned | 2018-10-03T14:46:04Z | |
dc.date.available | 2018-10-03T14:46:04Z | |
dc.date.issued | 2018-06-01 | |
dc.description.abstract | Enabling the transport of fronthaul traffic in next-generation cellular networks [fifth-generation (5G)] following the cloud radio access network (C-RAN) architecture requires a redesign of the fronthaul network featuring high capacity and ultra-low latency. With the aim of leveraging statistical multiplexing gains, infrastructure reuse, and, ultimately, cost reduction, the research community is focusing on Ethernet-based packet-switch networks. To this end, we propose using the high queuing delay percentiles of the G/G/1 queuing model as the key metric in fronthaul network dimensioning. Simulations reveal that Kingman's exponential law of congestion provides accurate estimates on such delays for the particular case of aggregating a number of evolved Common Public Radio Interface fronthaul flows, namely functional splits Iu and IID. We conclude that conventional 10 G, 40 G, and 100 G transponders can cope with multiple legacy 10-20 MHz radio channels with worst-case delay guarantees. Conversely, scaling to 40 and 100 MHz channels will require the introduction of 200G, 400G, and even 1T high-speed transponders. | en |
dc.description.sponsorship | The authors would like to acknowledge the support of the Spanish project TEXEO (grant no. TEC2016-80339-R), and the H2020 EU-funded project BlueSPACE (grant no. 762055). | en |
dc.format.extent | 9 | es |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | IEEE/OSA Journal of optical communications and networking, 10(6), pp. 573-581 | en |
dc.identifier.doi | https://doi.org/10.1364/JOCN.10.000573 | |
dc.identifier.issn | 1943-0620 | |
dc.identifier.publicationfirstpage | 573 | es |
dc.identifier.publicationissue | 6 | es |
dc.identifier.publicationlastpage | 581 | es |
dc.identifier.publicationtitle | Journal of Optical Communications and Networking | en |
dc.identifier.publicationvolume | 10 | es |
dc.identifier.uri | https://hdl.handle.net/10016/27526 | |
dc.identifier.uxxi | AR/0000021659 | |
dc.language.iso | eng | es |
dc.publisher | Optical Society of America | en |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/762055 (BlueSPACE) | en |
dc.relation.projectID | Gobierno de España. TEC2016-80339-R (TEXEO) | es |
dc.rights | © 2018 Optical Society of America. | en |
dc.rights.accessRights | open access | en |
dc.subject.eciencia | Óptica | es |
dc.subject.eciencia | Telecomunicaciones | es |
dc.subject.other | 5G | en |
dc.subject.other | C-RAN | en |
dc.subject.other | Delay percentiles | en |
dc.subject.other | eCPRI | en |
dc.subject.other | Fronthaul networks | en |
dc.subject.other | G/G/1 | en |
dc.subject.other | Kingman's exponential law of congestion | en |
dc.title | Fronthaul network modeling and dimensioning meeting ultra-low latency requirements for 5G | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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