• DocumentCode
    64083
  • Title

    Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey

  • Author

    Jingjin Wu ; Yujing Zhang ; Zukerman, Moshe ; Yung, Edward Kai-Ning

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
  • Volume
    17
  • Issue
    2
  • fYear
    2015
  • fDate
    Secondquarter 2015
  • Firstpage
    803
  • Lastpage
    826
  • Abstract
    Due to global climate change as well as economic concern of network operators, energy consumption of the infrastructure of cellular networks, or “Green Cellular Networking,” has become a popular research topic. While energy saving can be achieved by adopting renewable energy resources or improving design of certain hardware (e.g., power amplifier) to make it more energy-efficient, the cost of purchasing, replacing, and installing new equipment (including manpower, transportation, disruption to normal operation, as well as associated energy and direct cost) is often prohibitive. By comparison, approaches that work on the operating protocols of the system do not require changes to current network architecture, making them far less costly and easier for testing and implementation. In this survey, we first present facts and figures that highlight the importance of green mobile networking and then review existing green cellular networking research with particular focus on techniques that incorporate the concept of the “sleep mode” in base stations. It takes advantage of changing traffic patterns on daily or weekly basis and selectively switches some lightly loaded base stations to low energy consumption modes. As base stations are responsible for the large amount of energy consumed in cellular networks, these approaches have the potential to save a significant amount of energy, as shown in various studies. However, it is noticed that certain simplifying assumptions made in the published papers introduce inaccuracies. This review will discuss these assumptions, particularly, an assumption that ignores the effect of traffic-load-dependent factors on energy consumption. We show here that considering this effect may lead to noticeably lower benefit than in models that ignore this effect. Finally, potential future research directions are discussed.
  • Keywords
    cellular radio; energy conservation; renewable energy sources; telecommunication power management; energy efficient base stations sleep mode technique; energy saving; green cellular networking; green mobile networking; low energy consumption mode; network operators; renewable energy resource; traffic pattern; Air pollution; Energy consumption; Green products; Hardware; Industries; Mobile communication; Mobile computing; Cellular network; base station; energy consumption; energy efficiency; green networking; sleep mode;
  • fLanguage
    English
  • Journal_Title
    Communications Surveys & Tutorials, IEEE
  • Publisher
    ieee
  • ISSN
    1553-877X
  • Type

    jour

  • DOI
    10.1109/COMST.2015.2403395
  • Filename
    7041163