Decentralized spectrum access amongst cognitive radios - An interacting multivariate global game-theoretic approach

IEEE Transactions on Signal Processing

Volumn 57, Issue 10, 2009, Pages 3999-4013

  Krishnamurthy, Vikram ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Bayesian estimation and filtering; Bayesian Nash equilibrium (BNE); Dynamic spectrum access; Game theory; Monotone strategies; Multivariate global games; Stochastic gradient (adaptive filtering) algorithm

Indexed keywords

BAYESIAN ESTIMATION AND FILTERING; BAYESIAN NASH EQUILIBRIUM (BNE); DYNAMIC SPECTRUM ACCESS; MONOTONE STRATEGIES; MULTIVARIATE GLOBAL GAMES; STOCHASTIC GRADIENT (ADAPTIVE FILTERING) ALGORITHM;

AD HOC NETWORKS; ADAPTIVE ALGORITHMS; ADAPTIVE FILTERING; ADAPTIVE FILTERS; BAYESIAN NETWORKS; COMMUNICATION CHANNELS (INFORMATION THEORY); PROBABILITY DISTRIBUTIONS; RADIO; SPECTROSCOPY;

GAME THEORY;

EID: 70349644448     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2009.2022860     Document Type: Article

References (18)

1. L. Karp, I. H. Lee, and R. Mason, "A global game with strategic substitutes and complements," Games Econom. Behav., vol. 60, pp. 155-175, 2007.
2. Q. Zhao and B. M. Sadler, "A survey of dynamic spectrum access," IEEE Signal Process. Mag., vol. 24, no. 3, pp. 79-89, May 2007.
3. H. Carlsson and E. van Damme, "Global games and equilibrium selection," Econometrica, vol. 61, no. 5, pp. 989-1018, Sep. 1993.
4. S. Morris and H. S. Shin, "Global games: Theory and applications," in Advances in Economic Theory and Econometrics: Proceedings of Eight World Congress of the Econometric Society. Cambridge, U.K.: Cambridge Univ. Press, 2000.
5. V. Krishnamurthy, "Self-configuration in dense sensor networks via global games," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4936-4950, 2008.
6. C. Chamley, Rational Herds: Economic Models of Social Learning. Cambridge, U.K.: Cambridge Univ. Press, 2004.
7. X. Liu, E. K. P. Chong, and N. B. Shroff, "Opportunistic transmission scheduling with resource sharing constraints in wireless networks," IEEE J. Sel. Areas Commun., vol. 19, no. 10, pp. 2053-2064, Oct. 2001.
8. A. Farrokh and V. Krishnamurthy, "Opportunistic scheduling for streaming users in HSDPA mutimedia systems," IEEE Trans. Multimedia vol. 8, no. 4, pp. 844-855, 2006.
9. G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE J. Sel. Areas Commun., vol. 18, no. 3, pp. 535-547, Mar. 2000.
10. M. Maskery, V. Krishnamurthy, and Q. Zhao, V. Bhargava and E. Hossain, Eds., "Game theoretic learning and dynamic pricing for cognitive radio," in Cognitive Wireless Communications. New York: Springer-Verlag, 2007, pp. 303-326.
11. P. R. Milgrom and R. J. Weber, "Distributional strategies for games with incomplete information," Math. Operat. Res., vol. 10, pp. 619-632, 1985.
12. A. Mas-Colell, M. Whinston, and J. Green, Microeconomic Theory. Oxford, U.K.: Oxford Univ. Press, 1995.
13. S. Karlin and Y. Rinott, "Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions," J. Multivar. Anal., vol. 10, pp. 467-498, 1980.
14. J. Spall, Introduction to Stochastic Search and Optimization.: Wiley, 2003.
15. H. J. Kushner and G. Yin, Stochastic Approximation Algorithms and Recursive Algorithms and Applications, 2nd ed. NewYork: Springer-Verlag, 2003.
16. A. Muller and D. Stoyan, Comparison Methods for Stochastic Models and Risk. New York: Wiley, 2002.
17. W. Whitt, "A note on the influence of the sample on the posterior distribution," J. Amer. Statist. Assoc., vol. 74, pp. 424-426, 1979.
18. D. M. Topkis, Supermodularity and Complementarity. Princeton, NJ: Princeton Univ. Press, 1998.