A multi-traffic inter-cell interference coordination scheme in dense cellular networks

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dc.contributor.author Sciancalepore, Vincenzo
dc.contributor.author Filippini, Ilario
dc.contributor.author Mancuso, Vincenzo
dc.contributor.author Capone, Antonio
dc.contributor.author Banchs Roca, Albert
dc.date.accessioned 2019-03-26T15:58:30Z
dc.date.available 2019-03-26T15:58:30Z
dc.date.issued 2018-10
dc.identifier.bibliographicCitation IEEE/ACM transactions on networking, 26(5), pp. 2361-2375
dc.identifier.issn 1063-6692
dc.identifier.uri http://hdl.handle.net/10016/28248
dc.description.abstract This paper proposes a novel semi-distributed and practical ICIC scheme based on the Almost Blank Sub-Frame (ABSF) approach specified by 3GPP. We define two mathematical programming problems for the cases of guaranteed and best-effort traffic, and use game theory to study the properties of the derived ICIC distributed schemes, which are compared in detail against unaffordable centralized schemes. Based on the analysis of the proposed models, we define Distributed Multi-traffic Scheduling (DMS), a unified distributed framework for adaptive interference-aware scheduling of base stations in future cellular networks, which accounts for both guaranteed and best-effort traffic. DMS follows a two-tier approach, consisting of local ABSF schedulers, which perform the resource distribution between the guaranteed and best effort traffic, and a light-weight local supervisor, which coordinates ABSF local decisions. As a result of such a two-tier design, DMS requires very light signaling to drive the local schedulers to globally efficient operating points. As shown by means of numerical results, DMS allows to: (i) maximize radio resources resue; (ii) provide requested quality for guaranteed traffic; (iii) minimize the time dedicated to guaranteed traffic to leave room for best-effort traffic; and (iv) maximize resource utilization efficiency for the best-effort traffic.
dc.description.sponsorship The work of A. Banchs was supported by the H2020 5GMoNArch project (Grant Agreement No. 761445) and the 5GCity project of the Spanish Ministry of Economy and Competitiveness (TEC2016-76795-C6-3-R). The work of V. Mancuso has been supported by a Ramon y Cajal grant (ref: RYC-2014-16285) in part by the Spanish Ministry of Science, Innovation and Universities under grant TIN2017-88749-R and by the Madrid Regional Government through the TIGRE5-CM program (S2013/ICE-2919).
dc.format.extent 15
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2018 IEEE.
dc.subject.other eICIC
dc.subject.other 3GPP
dc.subject.other ABSF
dc.subject.other ICIC
dc.subject.other Scheduling
dc.subject.other Distributed algorithm
dc.subject.other Game theory
dc.title A multi-traffic inter-cell interference coordination scheme in dense cellular networks
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TNET.2018.2866410
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761445/5G-MoNArch
dc.relation.projectID Gobierno de España. TEC2016-76795-C6-3-R/5GCity
dc.relation.projectID Gobierno de España. RYC-2014-16285
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2919/TIGRE5-CM
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 2361
dc.identifier.publicationissue 5
dc.identifier.publicationlastpage 2375
dc.identifier.publicationtitle IEEE-ACM TRANSACTIONS ON NETWORKING
dc.identifier.publicationvolume 26
dc.identifier.uxxi AR/0000022105
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Comunidad de Madrid
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
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