• DocumentCode
    3050529
  • Title

    Base station switching based dynamic energy saving algorithm for cellular networks

  • Author

    Tian Kang ; Xuekang Sun ; Tiankui Zhang

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    Switching the base station (BS) with low traffic into sleep mode is considered as one of the most promising technologies for energy saving in the cellular networks. In this paper, we focus on the switching method considering the quality of service (QoS) as well as energy saving of the whole network. The network topology is modeled as a weighted affinity graph to describe the possible associations of user equipment (UEs) and the BSs in the network. Then the maximization problem of the network performance valued by the QoS and energy saving is formulated. Based on that, a dynamic energy saving (DES) algorithm is proposed. After optimized by DES, the network is reconfigured by switching certain BSs into sleep mode. Simulation results under different traffic conditions demonstrate that the proposed DES algorithm can significantly reduce energy consumption and improve the energy efficiency.
  • Keywords
    cellular radio; optimisation; quality of service; switching networks; telecommunication network topology; BS switching method; DES algorithm; QoS; UE associations; base station switching based dynamic energy saving algorithm; cellular networks; energy consumption; energy efficiency; energy saving; network performance maximization problem; network topology; quality of service; sleep mode; user equipment; Base stations; Energy efficiency; Heuristic algorithms; Power demand; Quality of service; Switches; Telecommunication traffic; Base station switching; Energy efficiency; Green network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2201-0
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2012.6418713
  • Filename
    6418713