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Optimal User Association, Backhaul Routing and Switching off in 5G Heterogeneous Networks with Mesh Millimeter Wave Backhaul Links
Department of Informatics, Aristotle University of Thessaloniki, Greece.
UPC-BarcelonaTECH, Barcelona, Spain.
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO)ORCID-id: 0000-0002-4961-5087
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (DISCO)ORCID-id: 0000-0002-9446-8143
2018 (engelsk)Inngår i: Ad hoc networks, ISSN 1570-8705, E-ISSN 1570-8713, Vol. 78, s. 99-114Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Next 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 off 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.

sted, utgiver, år, opplag, sider
Elsevier, 2018. Vol. 78, s. 99-114
Emneord [en]
5G; Energy efficiency; Green networks; Mesh backhaul; Millimeter wave; Optimization; Routing; Software defined networking (SDN); Switching off; User association
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-67393DOI: 10.1016/j.adhoc.2018.05.008ISI: 000441653100009OAI: oai:DiVA.org:kau-67393DiVA, id: diva2:1210631
Tilgjengelig fra: 2018-05-29 Laget: 2018-05-29 Sist oppdatert: 2019-10-28bibliografisk kontrollert

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