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dc.contributor.authorMesodiakaki, Agapi
dc.contributor.authorZola, Enrica Valeria
dc.contributor.authorSantos, Ricardo
dc.contributor.authorKassler, Andreas
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2018-07-10T11:24:55Z
dc.date.available2020-05-27T00:26:13Z
dc.date.issued2018-05-26
dc.identifier.citationMesodiakaki, A., Zola, E., Santos, R., Kassler, A.J. Optimal user association, backhaul routing and switching off in 5G heterogeneous networks with mesh millimeter wave backhaul links. "Ad hoc networks", 26 Maig 2018, vol. 78, p. 99-114.
dc.identifier.issn1570-8705
dc.identifier.urihttp://hdl.handle.net/2117/119205
dc.description.abstractNext generation, i.e., fifth generation (5G), cellular networks will provide a significant higher capacity per area to support the ever-increasing traffic demands. In order to achieve that, many small cells need to be deployed that are connected using a combination of optical fiber links and millimeter-wave (mmWave) backhaul architecture to forward heterogeneous traffic over mesh topologies. In this paper, we present a general optimization framework for the design of policies that optimally solve the problem of where to associate a user, over which links to route its traffic towards which mesh gateway, and which base stations and backhaul links to switch o¿ in order to minimize the energy cost for the network operator and still satisfy the user demands. We develop an optimal policy based on mixed integer linear programming (MILP) which considers different user distribution and traffic demands over multiple time periods. We develop also a fast iterative two-phase solution heuristic, which associates users and calculates backhaul routes to maximize energy savings. Our strategies optimize the backhaul network configuration at each timeslot based on the current demands and user locations. We discuss the application of our policies to backhaul management of mmWave cellular networks in light of current trend of network softwarization (Software-Defined Networking, SDN). Finally, we present extensive numerical simulations of our proposed policies, which show how the algorithms can efficiently trade-off energy consumption with required capacity, while satisfying flow demand requirements.
dc.format.extent16 p.
dc.language.isoeng
dc.publisherElsevier
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshSoftware-defined networking (Computer network technology)
dc.subject.other5G
dc.subject.otherenergy efficiency
dc.subject.othergreen networks
dc.subject.othermesh backhaul
dc.subject.othermillimeter wave
dc.subject.otheroptimization
dc.subject.otherrouting
dc.subject.othersoftware defined networking (SDN)
dc.subject.otherswitching off
dc.subject.otheruser association
dc.titleOptimal user association, backhaul routing and switching off in 5G heterogeneous networks with mesh millimeter wave backhaul links
dc.typeArticle
dc.subject.lemacXarxes definides per programari (Tecnologia de xarxes d'ordinadors)
dc.contributor.groupUniversitat Politècnica de Catalunya. GRXCA - Grup de Recerca en Xarxes de Comunicacions Cel·lulars i Ad-hoc
dc.identifier.doi10.1016/j.adhoc.2018.05.008
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1570870518302397
dc.rights.accessOpen Access
local.identifier.drac22748446
dc.description.versionPostprint (author's final draft)
local.citation.authorMesodiakaki, A.; Zola, E.; Santos, R.; Kassler, A.J.
local.citation.publicationNameAd hoc networks
local.citation.volume78
local.citation.startingPage99
local.citation.endingPage114


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