• DocumentCode
    2444491
  • Title

    Energy savings using an adaptive base station to relay station switching paradigm

  • Author

    Alam, Ahmed Shariful ; Dooley, Laurence S. ; Poulton, Adrian S. ; Yusheng Ji

  • Author_Institution
    Dept. of Commun. & Syst., Open Univ., Milton Keynes, UK
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Applying a Base Station (BS) sleep approach during low traffic periods has recently been advocated as a strategy for reducing energy consumption in cellular networks. The complete switching off of certain BS however, can lead to coverage holes and severe performance degradation in terms of off-cell user throughput, greater transmit power dissipation in both the up and downlinks, and more complex interference management. This paper presents a novel cellular network energy saving model in which certain BS rather being turned off are switched to Relay Station (RS) mode during low traffic periods. The switched RS and other shared RS deployed at the cross border of each cell are responsible for upholding the same quality of service (QoS) provision as when all BS are active. A centralised adaptive switching threshold algorithm is also introduced to undertake the switching decision, instead of using a fixed threshold. Simulation results confirm the new BS-RS Switching model using an adaptive threshold can reduce network energy consumption by more than half, as well as improving off-cell users´ throughput.
  • Keywords
    cellular radio; energy consumption; interference (signal); quality of service; relay networks (telecommunication); switching networks; telecommunication power supplies; telecommunication traffic; BS-RS switching; QoS; adaptive base station; cellular networks; energy consumption; energy savings; interference management; low traffic periods; power dissipation; quality of service; relay station switching paradigm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2012 International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4673-5830-9
  • Electronic_ISBN
    978-1-4673-5829-3
  • Type

    conf

  • DOI
    10.1109/WCSP.2012.6542887
  • Filename
    6542887