Skip to main content

Analytical Foundation for Energy Efficiency Optimisation in Cellular Networks with Elastic Traffic

  • Conference paper
Mobile Lightweight Wireless Systems (Mobilight 2011)

Abstract

Lately, energy efficiency (EE) in mobile communications is receiving growing attention as its increasing energy consumption raises concern over climate effects. As a stepping stone to improve the situation, we provide some analytical tools for optimising the EE of a base station through power control, focusing on elastic traffic in the downlink scenario. Under certain assumptions, the problem is formulated such that any rate maximisation algorithm can be incorporated to achieve the optimum EE. Furthermore, when formulated as a function of one sum power variable, optimality is illustrated graphically and Pareto optimality is discussed. Finally, an EE function for a base station in a cellular network is proposed that captures essential factors of power consumption.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ericsson, Sustainable energy use in mobile communications (2007)

    Google Scholar 

  2. Chen, T., Zhang, H., Zhao, Z., Chen, X.: Towards Green Wireless Access Networks. In: 5th Int. ICST Conference on Communications and Networking (2010)

    Google Scholar 

  3. Karl, H.: An Overview of Energy-Efficiency Techniques for Mobile Communication Systems. Telecommunication Networks Group, Technical University Berlin, Germany, Tech. Rep. TKN-03-017 (2003)

    Google Scholar 

  4. Auer, G., et al.: Enablers for Energy Efficient Wireless Networks. In: IEEE 72nd Vehicular Technology Conference Fall (2010)

    Google Scholar 

  5. He, J., et al.: Energy Efficient Architectures and Techniques for Green Radio Access Networks. In: 5th Int. ICST Conference on Communications and Networking (2010)

    Google Scholar 

  6. Correia, L., et al.: Challenges and enabling technologies for energy aware mobile radio networks. IEEE Communications Magazine 48, 66–72 (2010)

    Article  Google Scholar 

  7. Miao, G., Himayat, N., Li, Y., Bormann, D.: Energy-efficient design in wireless OFDMA. In: IEEE ICC (2008)

    Google Scholar 

  8. Isheden, C., Fettweis, G.P.: Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power. In: IEEE GLOBECOM (December 2010)

    Google Scholar 

  9. Betz, S., Poor, H.: Energy Efficient Communications in CDMA Networks: A Game Theoretic Analysis Considering Operating Costs. IEEE Transactions on Signal Processing 56(10), 5181–5190 (2008)

    Article  MathSciNet  Google Scholar 

  10. Kim, H., Chae, C.-B., de Veciana, G., Heath, R.: A cross-layer approach to energy efficiency for adaptive MIMO systems exploiting spare capacity. IEEE Transactions on Wireless Communications 8(8), 4264–4275 (2009)

    Article  Google Scholar 

  11. Chen, T., Kim, H., Yang, Y.: Energy efficiency metrics for green wireless communications. In: Int. Conference on Wireless Communications and Signal Processing (2010)

    Google Scholar 

  12. Energy Efficiency of Wireless Access Network Equipment, ETSI TS102706 (2009)

    Google Scholar 

  13. Arnold, O., Richter, F., Fettweis, G., Blume, O.: Power consumption modeling of different base station types in heterogeneous cellular networks. In: Proc. of 19th Future Network & MobileSummit (2010)

    Google Scholar 

  14. Schaible, S.: Fractional programming. Zeitschrift für Operations Research 27(1), 39–54 (1983)

    MathSciNet  MATH  Google Scholar 

  15. Schaible, S.: Minimization of ratios. Journal of Optimization Theory and Applications 19(2), 347–352 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  16. Giorgi, G., Guerraggio, A., Thierfelder, J.: Mathematics of optimization: smooth and nonsmooth case. Elsevier Science (2004)

    Google Scholar 

  17. Boyd, S., Vandenberghe, L.: Convex optimization. Cambridge University Press (2004)

    Google Scholar 

  18. Chong, Z., Jorswieck, E.A.: Energy-efficient Power Control for MIMO Time-varying Channels. In: IEEE Online Green Communications Conference (2011)

    Google Scholar 

  19. Corless, R., Gonnet, G., Hare, D., Jeffrey, D., Knuth, D.: On the LambertW function. Advances in Computational Mathematics 5, 329–359 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  20. Rodriguez, V.: An analytical foundation for resource management in wireless communication. In: IEEE GLOBECOM 2003, vol. 2, pp. 898–902 (2003)

    Google Scholar 

  21. Chong, Z., Jorswieck, E.A.: Energy efficiency in Random Opportunistic Beamforming. In: IEEE 73rd Vehicular Technology Conference (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Chong, Z., Jorswieck, E. (2012). Analytical Foundation for Energy Efficiency Optimisation in Cellular Networks with Elastic Traffic. In: Del Ser, J., et al. Mobile Lightweight Wireless Systems. Mobilight 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29479-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29479-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29478-5

  • Online ISBN: 978-3-642-29479-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics