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A Predictive Model for Minimising Power Usage in Radio Access Networks

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Mobile Networks and Management (MONAMI 2015)

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Abstract

In radio access networks traffic load varies greatly both spatially and temporally. However, resource usage of Base Stations (BSs) does not solely depend on the traffic load; auxiliary devices contribute to resource usage in a load invariant manner. Consequently, BSs suffer from a large underutilisation of resources throughout most of the day due to their optimisation for peak traffic hours. In this paper an energy saving scheme is proposed with the use of an Artificial Neural Network (ANN) predictive model to make switching decisions ahead of time. The optimum set of BS to turn off while maintaining Quality Of Service (QoS) is formulated as a binary integer programming problem. We validated our model and found large potential savings using an extensive data set spanning all network usage for three months and over one thousand BSs covering the entirety of Dublin city and county.

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Notes

  1. 1.

    The boundary files used to define the four administrative counties can be obtained from the Irish Central Statistics Office. (2011, 01/02/2015). Census 2011 Boundary Files. Available: http://www.cso.ie/en/census/census2011boundaryfiles/.

References

  1. Chuang, Y.F.: Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions. Telecommun. Policy 35, 128–140 (2011)

    Article  Google Scholar 

  2. Cisco.: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2011–2016. http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11–520862.html2012

  3. Carolan, E., McLoone, S.C., Farrell, R.: Predictive modelling of cellular load. In: Proceedings of the Irish Signals & Systems Conference 2015 (26th IET), IT Carlow (2015)

    Google Scholar 

  4. C.M.R. Institute.: C-RAN: Road Towards Green Radio Access Network, Technical report (2010)

    Google Scholar 

  5. Hakim Ghazzai, E.Y., Alouini, M.-S., Adnan, A.-D., Ghazzai, Hakim: Smart grid energy procurement for green LTE cellular networks. In: Khan, S., Mauri, J.L. (eds.) Green Networking and Communications: ICT for Sustainability. CRC Press, Boca Raton (2013)

    Google Scholar 

  6. Reviriego, P., Maestro, J.A., Hernández, J.A., Larrabeiti, D.: Study of the potential energy savings in ethernet by combining energy efficient ethernet and adaptive link rate. Trans. Emerg. Telecommun. Technol. 23, 227–233 (2012)

    Google Scholar 

  7. Fettweis, G., Zimmermann, E.: ICT energy consumption-trends and challenges. In: Proceedings of the 11th International Symposium on Wireless Personal Multimedia Communications, p. 6 (2008)

    Google Scholar 

  8. Carolan, E., McLoone, S., Farrell, R.: Characterising spatial relationships in base station resource usage. In: Proceedings of the 17th Research Colloquium on Communications and Radio Science into the 21st Century (2014)

    Google Scholar 

  9. Carolan, E., McLoone, S.C., Farrell, R.: Exploring spatial relationships and identifying influential nodes in cellular networks. In: Proceedings of the Irish Signals and Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014), 25th IET, pp. 245–250 (2014)

    Google Scholar 

  10. Farrell, R., Carolan, E., McLoone, S.C., McLoone, S.F.: Towards a quantitative model of mobile phone usage ireland – a preliminary study. In: Proceedings of the Irish Signals and Systems Conference 2012 (IET), NUI Maynooth, Ireland (2012)

    Google Scholar 

  11. Oh, E., Son, K., Krishnamachari, B.: Dynamic base station switching-on/off strategies for green cellular networks. IEEE Trans. Wirel. Commun. 12, 2126–2136 (2013)

    Article  Google Scholar 

  12. Saker, L., Elayoubi, S.-E., Chahed, T.: Minimizing energy consumption via sleep mode in green base station. In: IEEE 2010 Wireless Communications and Networking Conference (WCNC), pp. 1-6 (2010)

    Google Scholar 

  13. Hasan, Z., Boostanimehr, H., Bhargava, V.K.: Green cellular networks: A survey, some research issues and challenges. IEEE Commun. Surv. Tutorials 13, 524–540 (2011)

    Article  Google Scholar 

  14. Willkomm, D., Machiraju, S., Bolot, J., Wolisz, A.: Primary users in cellular networks: a large-scale measurement study, pp. 1-11 (2008)

    Google Scholar 

  15. Peng, C., Lee, S.B., Lu, S., Luo, H., Li, H.: Traffic-driven power saving in operational 3G cellular networks, pp. 121-132 (2011)

    Google Scholar 

  16. Sauter, M.: From GSM To LTE: An Introduction to Mobile Networks and Mobile Broadband. Wiley Publisher, New York (2011)

    Google Scholar 

  17. Son, K., Kim, H., Yi, Y., Krishnamachari, B.: Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. IEEE J. Sel. Areas Commun. 29, 1525–1536 (2011)

    Article  Google Scholar 

  18. Carolan, E., McLoone, S.C., Farrell, R.: Comparing and contrasting smartphone and non-smartphone usage. In: Proceedings of the Irish Signals and Systems Conference 2014 (IET), LYIT (2013)

    Google Scholar 

  19. Carolan, E., McLoone, S., McLoone, S., Farrell, R.: Analysing Ireland’s interurban communication network using call data records. In: Proceedings of the Irish Signals and Systems Conference 2012 (IET), NUI Maynooth (2012)

    Google Scholar 

  20. Feng, H., Shu, Y.: Study on network traffic prediction techniques. In: Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1041-1044 (2005)

    Google Scholar 

  21. Wang, G., Guo, C., Wang, S., Feng, C.: A traffic prediction based sleeping mechanism with low complexity in femtocell networks. In: 2013 IEEE International Conference on Communications Workshops (ICC), pp. 560-565 (2013)

    Google Scholar 

  22. Samarasinghe, S.: Neural Networks For Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition. CRC Press, Boca Raton (2006)

    Book  MATH  Google Scholar 

  23. Niu, Z., Wu, Y., Gong, J., Yang, Z.: Cell zooming for cost-efficient green cellular networks. IEEE Commun. Mag. 48, 74–79 (2010)

    Article  Google Scholar 

  24. Li, R., Zhao, Z., Wei, Y., Zhou, X., Zhang, H.: GM-PAB: a grid-based energy saving scheme with predicted traffic load guidance for cellular networks. In: 2012 IEEE International Conference on Communications (ICC), pp. 1160–1164 (2012)

    Google Scholar 

  25. Bradley, S.P., Hax, A.C., Magnanti, T.L.: Applied Mathematical Programming. Addison Wesley, Reading (2007)

    Google Scholar 

  26. Bessette, B., Salami, R., Lefebvre, R., Jelinek, M., Rotola-Pukkila, J., Vainio, J., Mikkola, H., Jarvinen, K.: The adaptive multi-rate wideband speech codec (AMR-WB). IEEE Trans. Speech Audio Proc. 10, 620–636 (2002)

    Article  Google Scholar 

  27. Taddei, H., Varga, I., Gros, L., Quinquis, C., Monfort, J.Y., Mertz, F., Clevorn, T.: Evaluation of AMR-NB and AMR-WB in packet switched conversational communications. In: 2004 IEEE International Conference on Multimedia and Expo ICME 2004, pp. 2003-2006 (2004)

    Google Scholar 

  28. Hyndman, R.J., Koehler, A.B.: Another look at measures of forecast accuracy. Int. J. Forecast. 22, 679–688 (2006)

    Article  Google Scholar 

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Acknowledgments

This work was supported through the Science Foundation Ireland Centre for Telecommunications Research (SFI-CE-I1853). The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.

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Authors and Affiliations

  1. Department of Electronic Engineering, Maynooth University, Maynooth, County Kildare, Ireland

    Emmett Carolan, Seamus C. McLoone & Ronan Farrell

Authors
  1. Emmett Carolan
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  2. Seamus C. McLoone
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  3. Ronan Farrell
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Corresponding author

Correspondence to Emmett Carolan .

Editor information

Editors and Affiliations

  1. Dpto. Ingeniería de Comunicaciones, Universidad de Cantabria, Santander, Spain

    Ramón Agüero

  2. Lehrstuhl für Informatik III, University of Würzburg, Würzburg, Germany

    Thomas Zinner

  3. Dpt. de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya - BarcelonaTech, Castelldefels, Spain

    Mario García-Lozano

  4. Cork Institute of Technology, Cork, Ireland

    Bernd-Ludwig Wenning

  5. Institute of Communication Networks, Hamburg University of Technology, Hamburg, Germany

    Andreas Timm-Giel

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Carolan, E., McLoone, S.C., Farrell, R. (2015). A Predictive Model for Minimising Power Usage in Radio Access Networks. In: Agüero, R., Zinner, T., García-Lozano, M., Wenning, BL., Timm-Giel, A. (eds) Mobile Networks and Management. MONAMI 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-319-26925-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-26925-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26924-5

  • Online ISBN: 978-3-319-26925-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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