• DocumentCode
    1988568
  • Title

    Decentralized energy-efficient base station operation for green cellular networks

  • Author

    Wei-Te Wong ; Ya-Ju Yu ; Ai-Chun Pang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    5194
  • Lastpage
    5200
  • Abstract
    Given the explosive growth of mobile subscribers, network operators have to densely deploy base stations to serve the exponentially increasing access demands. Nevertheless, recent researches have pointed out that base station operation has been identified as a significant portion of total system energy consumption and 90% of the traffic is carried by only 40% of base stations even under peak traffic demand. Therefore, switching off underutilized base stations for saving power is an important issue with the increasing awareness of environmental responsibility and economical concerns of network operators. This paper targets the problem of dynamic base station operation, with an objective to minimize total power consumption of all base stations. We prove this problem is NP-hard and cannot be approximated in polynomial time with a ratio better than 3/2. Then, we propose a distributed algorithm to tackle it. The simulation results show that our proposed algorithm can significantly reduce the network power consumption.
  • Keywords
    cellular radio; computational complexity; distributed algorithms; telecommunication power management; telecommunication traffic; NP-hard problem; decentralized energy-efficient base station operation; distributed algorithm; dynamic base station operation; green cellular networks; mobile subscribers; network power consumption; peak traffic demand; polynomial time; total system energy consumption; underutilized base stations; Energy efficiency; base station operation; cellular networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503945
  • Filename
    6503945