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User Association in 5G Heterogeneous Networks with Mesh Millimeter Wave Backhaul Links
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-9309-0524
Univ Politecn Cataluna, Dept Network Engn, Barcelona, Spain.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9446-8143
2017 (English)In: 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE, 2017Chapter in book (Other academic)
Abstract [en]

Fifth generation (5G) wireless networks will target at energy and spectrum efficient solutions to cope with the increasing demands in capacity and energy efficiency. To achieve this joint goal, dense networks of small cells (SCs) are expected to overlay the existing macro cells. In parallel, for the SC connection to the core network, a promising solution lies in a mesh network of high capacity millimeter wave backhaul (BH) links. In the considered 5G architecture, each SC is able to forward its BH traffic to the core network through alternative paths, thus offering high BIT network reliability. In this context, the joint problem of user association and HI routing becomes challenging. In this paper, we focus on this problem targeting at energy and spectrum efficient solutions. A low-complexity algorithm is proposed, which bases its user association and BIT routing decision i) on minimizing the spectrum resources to guarantee the user rate, so as to provide high spectrum efficiency, and ii) on minimizing both the access network and BH route power consumption to provide high energy efficiency. Our results show that our solution provides better trade-offs between energy and spectrum efficiency than the state-of-the-art in 3GPP scenarios.

Place, publisher, year, edition, pages
IEEE, 2017.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-66883ISI: 000426952700061ISBN: 978-1-5386-2723-5 (print)OAI: oai:DiVA.org:kau-66883DiVA, id: diva2:1194208
Available from: 2018-03-29 Created: 2018-03-29 Last updated: 2018-06-27Bibliographically approved

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Agapi, MesodiakakiKassler, Andreas

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • Other locale
More languages
Output format
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