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A Stochastic Non-Cooperative Game for Energy Efficiency in Wireless Data Networks

  • Stefano Buzzi
  • H. Vincent Poor
  • Daniela Saturnino
Conference paper
Part of the Signals and Communication Technology book series (SCT)

In this paper the issue of energy efficiency in CDMA wireless data networks is addressed through a game theoretic approach. Building on a recent paper by the first two authors, wherein a non-cooperative game for spreading-code optimization, power control, and receiver design has been proposed to maximize the ratio of data throughput to transmit power for each active user, a stochastic algorithm is here described to perform adaptive implementation of the said noncooperative game. The proposed solution is based on a combination of RLS-type and LMS-type adaptations, and makes use of readily available measurements. Simulation results show that its performance approaches with satisfactory accuracy that of the non-adaptive game, which requires a much larger amount of prior information.

Keywords

Mean Square Error Fading Channel Stochastic Game Spreading Code Noncooperative Game 
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.
    Fudenberg D, Tirole J (1991) Game Theory. MIT Press, Cambridge, MAGoogle Scholar
  2. 2.
    MacKenzie AB, Wicker SB (2001) Game theory in communications: Motivation, explanations, and applications to power control, Proceedings to the IEEE Global Telecommunications Conference, San Antonio, TXGoogle Scholar
  3. 3.
    Yates RD (1995) IEEE J Sel Areas Commun 13:1341-1347CrossRefGoogle Scholar
  4. 4.
    Goodman DJ, Mandayam NB (2000) IEEE Pers Commun 7:48-54CrossRefGoogle Scholar
  5. 5.
    Saraydar CU, Mandayam NB, Goodman DJ (2002) IEEE Trans Commun 50:291-303CrossRefGoogle Scholar
  6. 6.
    Saraydar CU (2001) Pricing and power control in wireless data networks. Ph.D. Dissertation, Rutgers University, Piscataway, NJ, USAGoogle Scholar
  7. 7.
    Meshkati F, Poor HV, Schwartz SC, Mandayam NB (2005) IEEE Trans Com-mun 53:1885-1894CrossRefGoogle Scholar
  8. 8.
    Buzzi S, Poor HV (2007) Non-cooperative games for spreading code optimiza-tion, power control and receiver design in wireless data networks Proceedings of the 2007 European Wireless Conference, ParisGoogle Scholar
  9. 9.
    Ulukus S, Yener A (2004) IEEE Trans Wireless Commun 3:1879-1884CrossRefGoogle Scholar
  10. 10.
    Rajappan GS, Honig ML (2002) IEEE J Sel Areas Commun 20:384-395CrossRefGoogle Scholar
  11. 11.
    Luo J, Ulukus S, Ephremides A (2005) IEEE Trans Inf Theory 51:2612-2624CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Stefano Buzzi
    • 1
  • H. Vincent Poor
    • 2
  • Daniela Saturnino
    • 1
  1. 1.Università degli Studi di CassinoItaly
  2. 2.School of Engineering and Applied SciencePrinceton UniversityPrincetonUSA

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