Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes

Andreas Ahrens, Christoph Lange, César Benavente-Peces


The energy demand of telecommunication equipment and networks has been identified to be significant. In the information society such networks are vital for societal and economic welfare as well as for the people’s private lives. Therefore an improved energy efficiency of telecommunication networks is essential in the context of sustainability and climate change. Load-adaptive regimes are a promising option for energy-efficient and sustainable network operation. As the capacity is adapted to temporally fluctuating traffic demands, they require a robust traffic demand estimation. As a potential solution to mitigate this problem, a method for reliable traffic demand forecasting on relevant time scales using Wiener filtering is presented. The results show that the capacity dimensioning based on the proposed Wiener filtering traffic estimation method leads to reliable outcomes enabling sustainable and efficient network operation.


  1. Ambrosy, A., Blume, O., Klessig, H., and Wajda, W. (2011). Energy saving Potential of Integrated Hardware and Resource Management Solutions for Wireless Base Stations. In 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Toronto (Canada).
  2. Antonakopoulos, S., Fortune, S., and Zhang, L. (2010). Power-aware Routing with Rate-adaptive Network Elements. In IEEE GLOBECOM, Workshop on Green Communications (GreenCom), pages 1428-1432, Miami, Florida (USA).
  3. DE-CIX (2016). DE-CIX Traffic Statistics,
  4. Francini, A. and Stiliadis, D. (2010). Performance Bounds of Rate-Adaptation Schemes for Energy-Efficient Routers. In International Conference on High Performance Switching and Routing (HPSR), pages 175- 182, Dallas, Texas (USA).
  5. Heddeghem, W. v., Lambert, S., Lannoo, B., Colle, D., Pickavet, M., and Demeester, P. (2014). Trends in Worldwide ICT Electricity Consumption from 2007 to 2012. Computer Communications, 50:64U? -76.
  6. ITU-T (2009a). Recommendation ITU-T G.992.3, Asymmetric Digital Subscriber Line 2 Transceivers (ADSL2).
  7. ITU-T (2009b). Recommendation ITU-T G.992.5, Asymmetric Digital Subscriber Line 2 Transceivers (ADSL2) .
  8. Lange, C. and Gladisch, A. (2011). Limits of Energy Efficiency Improvements by Load-Adaptive Telecommunication Network Operation. In 10th Conference of Telecommunication, Media and Internet TechnoEconomics (CTTE), pages S5-1, Berlin (Germany).
  9. Lange, C., Kosiankowski, D., Betker, A., Simon, H., Bayer, N., v. Hugo, D., Lehmann, H., and Gladisch, A. (2014). Energy Efficiency of Load-Adaptively Operated Telecommunication Networks. IEEE/OSA Journal of Lightwave Technology, 32(4):571 - 590.
  10. Puype, B., Vereecken, W., Colle, D., Pickavet, M., and Demeester, P. (2011). Multilayer Traffic Engineering for Energy Efficiency. Photonic Network Communications, 21(2):127-140.
  11. Reviriego, P., Christensen, K., Rabanillo, J., and Maestro, J. A. (2011). An Initial Evaluation of Energy Efficient Ethernet. IEEE Comm. Letters, 15(5):5'U? -580.
  12. Roy, S. N. (2008). Energy Logic: A Road Map to Reducing Energy Consumption in Telecommunications Networks. In International Telecommunications Energy Conference (INTELEC), pages paper 4-2, San Diego, California (USA).
  13. Vaseghi, S. V. (2009). Advanced Digital Signal Processing and Noise Reduction. John Wiley & Sons, Chichester.
  14. Vega, L. R. and Rey, H. (2013). A Rapid Introduction to Adaptive Filtering. Springer, Heidelberg, New York.
  15. Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. Wiley, New York.

Paper Citation

in Harvard Style

Ahrens A., Lange C. and Benavente-Peces C. (2016). Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes . In - SPCS, (PECCS 2016) ISBN , pages 0-0. DOI: 10.5220/0005932800990104

in Bibtex Style

author={Andreas Ahrens and Christoph Lange and César Benavente-Peces},
title={Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes},
booktitle={ - SPCS, (PECCS 2016)},

in EndNote Style

JO - - SPCS, (PECCS 2016)
TI - Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes
SN -
AU - Ahrens A.
AU - Lange C.
AU - Benavente-Peces C.
PY - 2016
SP - 0
EP - 0
DO - 10.5220/0005932800990104