• DocumentCode
    3323588
  • Title

    Energy-efficient planning and management of cellular networks

  • Author

    Chiaraviglio, L. ; Ciullo, D. ; Koutitas, G. ; Meo, M. ; Tassiulas, L.

  • Author_Institution
    Electron. Dept., Politec. di Torino, Torino, Italy
  • fYear
    2012
  • fDate
    9-11 Jan. 2012
  • Firstpage
    159
  • Lastpage
    166
  • Abstract
    We study base stations energy-efficient management algorithms in a cellular access network taking into account different planning strategies. To provide energy savings, sleep modes are adopted at the Base Stations (BSs). We propose two switch-off strategies that are based either on the cell load or the BS coverage overlap. Our results show that energy savings between 10% and 30% can be achieved also for the deployment already planned to be energy-efficient, while even higher savings are achievable with the other deployments. Moreover, we find that both the proposed switch-off strategies obtain similar results, suggesting that the order at which the BSs are switched-off, and the set of BSs selected to be switched off, do not change significantly the average estimation of potential energy savings. Furthermore, on a realistic case study, comparisons are made between the results obtained by using deterministic channel estimation models and empirical formulations.
  • Keywords
    cellular radio; channel estimation; radio access networks; telecommunication equipment; telecommunication network management; telecommunication network planning; BS; base station; cellular access network; channel estimation model; energy saving estimation; energy-efficient management algorithm; energy-efficient planning algorithm; sleep mode; switch-off strategy; Base stations; Computational modeling; Genetic algorithms; IEEE 802.16 Standards; Planning; Ray tracing; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless On-demand Network Systems and Services (WONS), 2012 9th Annual Conference on
  • Conference_Location
    Courmayeur
  • Print_ISBN
    978-1-4577-1721-5
  • Electronic_ISBN
    978-1-4577-1720-8
  • Type

    conf

  • DOI
    10.1109/WONS.2012.6152223
  • Filename
    6152223