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Power Conservation in Wired Wireless Networks

  • John Debenham
  • Simeon Simoff
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 151)

Abstract

A joint university / industry collaboration has designed a system for conserving power in LTE (Long Term Evolution) wireless networks for mobile devices such as phones. The solution may be applied to any wireless technology in which all stations are wired to a backbone (e.g. it may not be applied to an 802.11 mash). This paper describes the solution method that is based on a distributed multiagent system in which one agent is associated with each and every station. Extensive simulations show that the system delivers robust performance: the computational overhead is within acceptable limits, the solution is stable in the presence of unexpected fluctuations in demand patterns, and scalability is achieved by the agents making decisions locally.

Keywords

Multiagent System Wireless Mesh Network Service Region Wireless Access Network Beam Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Dahlman, E., Parkvall, S., Sköld, J., Beming, P.: 3G Evolution: HSPA and LTE for Mobile Broadband. Academic Press (2008)Google Scholar
  2. 2.
    Fehske, A.J., Richter, F., Fettweis, G.P.: Energy efficiency improvements through micro sites in cellular mobile radio networks. In: Globecome Workshops (2009)Google Scholar
  3. 3.
    FIPA. Communicative act library specification. Technical Report SC00037J, Foundation for Intelligent Physical Agents, Geneva, Switzerland (2002)Google Scholar
  4. 4.
    Jorgušeski, L., Prasad, R.: Downlink Resource Allocation in Beyond 3G OFDMA Cellular Systems. In: The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007), Athens, pp. 1–5. IEEE Computer Society (2007)Google Scholar
  5. 5.
    Lin, K., Debenham, J., Simoff, S.: Managing Power Conservation in Wireless Networks. In: Cao, L., Zhong, J., Feng, Y. (eds.) ADMA 2010, Part II. LNCS, vol. 6441, pp. 314–325. Springer, Heidelberg (2010)Google Scholar
  6. 6.
    Lorincz, J., Capone, A., Bogarelli, M.: Energy savings in wireless access networks through optimized network management. In: Proceedings of the 5th IEEE International Conference on Wireless Pervasive Computing, pp. 449–454. IEEE Press, Piscataway (2010)Google Scholar
  7. 7.
    Prodan, A.: A Multiagent System for Topology Control on Multi-Radio Wireless Mesh Networks. PhD thesis. University of Technology, Sydney (2010)Google Scholar
  8. 8.
    Vadgama, S., Hunukumbure, M.: Trends in green wireless access networks. In: 2011 IEEE International Conference on Communications Workshops (ICC), pp. 1–5 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Centre for Quantum Computation & Intelligent SystemsUniversity of Technology SydneySydneyAustralia
  2. 2.School of Computing & MathematicsUniversity of Western SydneySydneyAustralia

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