• DocumentCode
    3449997
  • Title

    Traffic-aware base station sleeping in dense cellular networks

  • Author

    Gong, Jie ; Zhou, Sheng ; Niu, Zhisheng ; Yang, Peng

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    16-18 June 2010
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The energy consumption of information and communication technology (ICT) industry has become a serious problem, which mostly comes from the network infrastructure, rather than the mobile terminals. In this paper, we consider densely deployed cellular networks where the coverage of base stations (BSs) overlaps and the traffic intensity varies over time and space. An energy saving algorithm is proposed by dynamically adjusting the working modes (active or sleeping) of BSs according to the traffic variation with respect to certain blocking probability requirement. In addition, to prevent frequent mode switching, BSs are set to hold their current working modes for at least a given interval. Simulations demonstrate that the proposed strategy can greatly reduce energy consumption with blocking probability guarantee, and the performance is insensitive to the mode holding time within certain range.
  • Keywords
    cellular radio; energy consumption; probability; telecommunication network management; telecommunication switching; telecommunication traffic; ICT industry; blocking probability; cellular networks; coverage; energy consumption; information and communication technology; sleeping; switching; traffic aware base station; Base stations; Communication industry; Communications technology; Energy consumption; Industrial electronics; Information science; Laboratories; Land mobile radio cellular systems; Power engineering and energy; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality of Service (IWQoS), 2010 18th International Workshop on
  • Conference_Location
    Beijing
  • ISSN
    1548-615X
  • Print_ISBN
    978-1-4244-5987-2
  • Type

    conf

  • DOI
    10.1109/IWQoS.2010.5542725
  • Filename
    5542725