• DocumentCode
    3363681
  • Title

    Techno-economic Balance of Load-Adaptive Telecommunication Network Operation for Energy Efficiency Improvements

  • Author

    Lange, C. ; Lehmann, Hartmut

  • Author_Institution
    Telekom Innovation Labs., Deutsche Telekom, Berlin, Germany
  • fYear
    2013
  • fDate
    26-30 Aug. 2013
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    Load-adaptive telecommunication network operation has crystallized as a promising option for improving the network energy efficiency. On the one hand significant energy savings are expected when the network capacity follows the traffic load, on the other hand efforts for preparing networks for this kind of dynamic operation are necessary regarding, for example, systems and network processes. To account for all this, an energy-related and a generalized techno-economic balance is developed. Results calculated for exemplary traffic load curves and boundary conditions show that there are significant monetary benefits to be expected in particular in case of moderate validity periods of the network configurations. Furthermore, the need to evaluate the load-adaptive network operation case from a techno-economic viewpoint carefully before employing it in a particular telecommunication network becomes evident.
  • Keywords
    energy conservation; telecommunication network planning; telecommunication power management; telecommunication power supplies; telecommunication traffic; dynamic operation; energy efficiency improvements; load adaptive telecommunication network operation; network capacity; network energy efficiency; techno economic balance; traffic load; Adaptive systems; Energy consumption; Energy efficiency; Load modeling; Power demand; Telecommunication traffic; energy efficiency; load-adaptive operation; telecommunication network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on
  • Conference_Location
    Los Alamitos, CA
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-5070-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2013.33
  • Filename
    6621380