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Energy-efficient Context-aware User Association for Outdoor Small Cell Heterogeneous Networks
Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain..
Open Univ Catalonia UOC, Barcelona, Spain..
Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain..
Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain..
2014 (English)In: 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE Press, 2014, p. 1614-1619Conference paper, Published paper (Refereed)
Abstract [en]

To meet the ever-increasing traffic demands, future cellular networks are about to include a plethora of small cells (SCs), with user equipments (UEs) being able of communicating via multiple bands. Given that SCs are expected to be eventually as close as 50 m apart, some of them will not have a direct connection to the core network, and thus will forward their traffic to the neighboring SCs until they reach it. In such architectures, the user association problem becomes challenging with backhaul (BH) energy consumption playing a key role. Thus, in this paper, we study the user association problem aiming at maximizing the network energy efficiency. The problem is formulated as an optimization problem, which is NP-hard. Therefore, we propose a cognitive heuristic algorithm that exploits context-aware information (i.e., UE measurements and requirements, the HetNet architecture knowledge and the available spectrum resources of each base station (BS)) to associate the UEs in an energy-efficient way, while considering both the access and the BH energy consumption. We evaluate the performance of the proposed algorithm under two study-case scenarios and we prove that it achieves significantly higher energy efficiency than the reference algorithms, while maintaining high spectral efficiency.

Place, publisher, year, edition, pages
IEEE Press, 2014. p. 1614-1619
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
User association, context-awareness, LTE-Advanced, backhaul, small cells, green communications
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kau:diva-45490ISI: 000366666801126ISBN: 978-1-4799-2003-7 (print)OAI: oai:DiVA.org:kau-45490DiVA, id: diva2:956470
Conference
IEEE International Conference on Communications (ICC), JUN 10-14, 2014, Sydney, AUSTRALIA
Available from: 2016-08-30 Created: 2016-08-30 Last updated: 2016-10-15Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf