• DocumentCode
    2120995
  • Title

    Self-organized virtual small networking for energy saving and load balancing in cellular networks

  • Author

    Zhang, Hong ; Cai, Jun ; Li, Xiaolong

  • Author_Institution
    Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg, Canada
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    2874
  • Lastpage
    2879
  • Abstract
    In this paper, a power efficient self-organized virtual small networking protocol is proposed to save network-wide power consumption in cellular networks. The meta-heuristic firefly algorithm is proposed to arrange the base stations (BSs) into several groups based on a well-defined brightness, which is a traffic load related factor. By jointly considering the load balance in each BS group, the effectiveness of the proposed algorithm is demonstrated under two scenarios with different functions of brightness. In addition, the BS-off matching scheme and BS on/off weight are developed to improve the BSs power efficiency of. The simulation results show that our proposals can effectively save more power compared to the existing unified strategy.
  • Keywords
    Brightness; Conferences; Load management; Next generation networking; Power demand; Protocols; Switches; BS on/off; green cellular networks; load balancing; self-organized small cells;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Workshop (ICCW), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICCW.2015.7247615
  • Filename
    7247615