Publication: Optimization of an integrated fronthaul/backhaul network under path and delay constraints
dc.affiliation.dpto | UC3M. Departamento de IngenierĆa TelemĆ”tica | es |
dc.affiliation.grupoinv | UC3M. Grupo de InvestigaciĆ³n: Network Technologies | es |
dc.contributor.author | Molner, Nuria | |
dc.contributor.author | Oliva Delgado, Antonio de la | |
dc.contributor.author | Azcorra SaloƱa, Arturo | |
dc.contributor.author | Azcorra SaloƱa, Arturo | |
dc.date.accessioned | 2018-09-21T10:10:24Z | |
dc.date.available | 2021-02-01T00:00:04Z | |
dc.date.issued | 2019-02-01 | |
dc.description.abstract | Cloud or Centralized Radio Access Networks (C-RANs) are expected to be widely deployed under 5G in order to support the anticipated increasedtraffic demands and reduce costs. Under C-RAN, the radio el- ements (e.g., eNB or gNB in 5G) are split into a basic radio part (Distributed Unit, DU),and a pool-able base band processing part (Central Unit, CU). This functional split results in high bandwidth and delay constrained traffic flowsbetween DUs and CUs (referred to as fronthaul), calling for the deployment of a specialized network to accommodate them or for integrating themwith the rest of the flows (referred to as backhaul) over the existing infrastructure. This work studies the next generation of transport networks, which aims at integrating fronthaul and backhaul traffic over the same transport stratum. An optimization framework for routing and resourceplacement is developed, taking into account delay, capacity and path constraints, maximizing the degree of DU deployment while minimizing thesupporting CUs. The frame- work and the developed heuristics (to reduce the computational complexity) are validated and applied to both small andlarge- scale (production-level) networks. They can be useful to network operators for both network planning as well as network operation adjustingtheir (virtualized) infrastructure dynamically. | en |
dc.description.sponsorship | This work was supported by H2020 European Research Coun- cil project ā5G-TRANSFORMER: 5G Mobile Transport Platform for Verticalsā (grant no. 761536 ), EU H2020 5G-Coral Project (grant no. 761586) and by the Madrid Community through the BRADE project (P2013/ICE-2958 (BRADE-CM)) | en |
dc.format.extent | 14 | es |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Molner, N., Oliva, A. de la., Stavrakakis, I., Azcorra, A. (2019). Optimization of an integrated fronthaul/backhaul network under path and delay constraints. Ad Hoc Networks, 83, pp. 41-54. | en |
dc.identifier.doi | https://doi.org/10.1016/j.adhoc.2018.08.025 | |
dc.identifier.issn | 1570-8705 | |
dc.identifier.publicationfirstpage | 41 | es |
dc.identifier.publicationlastpage | 54 | es |
dc.identifier.publicationtitle | Ad Hoc Networks | es |
dc.identifier.publicationvolume | 83 | es |
dc.identifier.uri | https://hdl.handle.net/10016/27457 | |
dc.identifier.uxxi | AR/0000021673 | |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/761536 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/761586 | |
dc.relation.projectID | Comunidad de Madrid. P2013/ICE-2958 (BRADE-CM) | |
dc.rights | Ā© 2019 Elsevier | |
dc.rights | AtribuciĆ³n-NoComercial-SinDerivadas 3.0 EspaƱa | |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
dc.subject.eciencia | Telecomunicaciones | es |
dc.subject.other | 5G-crosshaul | en |
dc.subject.other | Fronthaul | en |
dc.subject.other | Backhaul | en |
dc.subject.other | Optimization | en |
dc.subject.other | Delay | en |
dc.title | Optimization of an integrated fronthaul/backhaul network under path and delay constraints | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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