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Traffic-Aware Data and Signaling Resource Management for Green Cellular Networks
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2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The increasing traffic demands bring heavy load toboth the data and control planes of cellular networks, along withsubstantial energy consumption. To solve the issue, new networkarchitecture that separates signaling and data has been proposedin literature for future green cellular networks. In this paper, weanalyze the data and signaling resource configuration problemin this new network architecture. We find the optimal resourcepartitioning parameters to optimize the blocking performanceand to minimize the overall network power consumption witha blocking probability constraint. More specifically, we adopttraffic-aware resource allocation between the data and signalingbase stations (BSs) to improve network access capability whilereducing the overall network power consumption. Two typesof resource partitioning patterns, complete partitioning andpartial partitioning, are studied. Numerical results show thatgreat energy-saving gain can be achieved compared with thetraditional fixed and traffic-proportional resource partitioningpatterns. Moreover, power consumption and blocking performancetradeoffs are explored, based on which the appropriateresource partitioning pattern can be chosen according to differentquality of service (QoS) requirements.

Place, publisher, year, edition, pages
2014. 3499-3504 p.
Keyword [en]
Blocking probability, Ecology, Energy utilization, Information management, Mobile telecommunication systems, Quality of service, Resource allocation, Signaling, Wireless networks
National Category
Communication Systems
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-159304DOI: 10.1109/ICC.2014.6883863Scopus ID: 2-s2.0-84907000616ISBN: 978-147992003-7 (print)OAI: oai:DiVA.org:kth-159304DiVA: diva2:784225
Conference
2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, Australia, 10-14 June 2014
Funder
ICT - The Next Generation, 60056
Note

QC 20150324

Available from: 2015-01-28 Created: 2015-01-28 Last updated: 2015-06-23Bibliographically approved

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Miao, Guowang
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Radio Systems Laboratory (RS Lab)
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CiteExportLink to record
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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
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