• DocumentCode
    110307
  • Title

    GreenBSN: Enabling Energy-Proportional Cellular Base Station Networks

  • Author

    Chunyi Peng ; Suk-Bok Lee ; Songwu Lu ; Haiyun Luo

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    13
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    2537
  • Lastpage
    2551
  • Abstract
    Base station (BS) networks in 3G cellular infrastructure do not consume energy in proportion to their carried traffic load. Our measurements show that the 3G traffic exhibits high fluctuations both in time and over space, thus incurring energy waste. In this paper, we propose Green base station networks (GreenBSN) to approximate network-wide energy proportionality using non-load-adaptive BSes. The instrument is a traffic-driven approach. By leveraging the inherent temporal-spatial traffic dynamics and node deployment heterogeneity, we power off under-utilized BSes under light traffic. Our evaluation on four regional 3G networks shows that GreenBSN yields up to 53 percent energy savings in dense large cities and 23 percent in sparsely deployed regions.
  • Keywords
    3G mobile communication; cellular radio; power consumption; telecommunication power management; telecommunication traffic; 3G cellular infrastructure; 3G traffic; GreenBSN; energy savings; energy waste; energy-proportional cellular base station networks; network-wide energy; node deployment; nonload-adaptive BS; space fluctuations; temporal-spatial traffic dynamics; time fluctuations; traffic-driven approach; Aggregates; Cities and towns; Cooling; Energy consumption; Green products; Mobile computing; Multiplexing; Energy efficiency; cellular networks; communication system traffic;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2014.2307322
  • Filename
    6746208