• DocumentCode
    650984
  • Title

    Dynamic base station sleeping scheme for potential super density networks

  • Author

    Guo Li ; Shi Jin ; Fuchun Zheng ; Xiqi Gao ; Xiaoyu Wang

  • Author_Institution
    Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
  • fYear
    2013
  • fDate
    24-26 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The concept of super density network (SDN), which is founded by the idea of a very dense deployment of base stations (BSs), offers tremendous potential in terms of satisfying high data rate traffic requirements. On the other hand, the energy consumption of the cellular network, which has become a serious problem, is mostly due to the BSs rather than the mobile terminals. In this paper, we focus on reducing the energy consumption of the SDN by adjusting the BSs´ working mode (active or sleep). Specifically, taking algorithm complexity and user behavior into consideration, we propose a dynamic BS sleeping scheme to dynamically turn some BSs into sleep mode, and a two-stage algorithm is applied to specifically determine which BSs are going to sleep every a fixed time interval aiming to track the traffic variations in time domain. In addition, in our scheme, the active BSs will improve their maximum transmit power to guarantee coverage. Simulation results show that, the active BS pattern well meets the time variation. Moreover, our proposed scheme can reduce the energy consumption effectively while guaranteeing a tolerable blocking probability.
  • Keywords
    cellular radio; probability; resource allocation; telecommunication traffic; blocking probability; cellular network; dynamic base station sleeping scheme; energy consumption reduction; high data rate traffic requirements; super density networks; traffic variations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2013 International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/WCSP.2013.6677236
  • Filename
    6677236