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Selfish Random Access: Equilibrium Conditions and Best-Response Learning

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Game Theory for Networks (GameNets 2011)

Abstract

This paper studies a class of random access games for wireless channels with multipacket reception. First, necessary and sufficient equilibrium conditions for a contention strategy profile to be a Nash equilibrium for general wireless channels are established. Then, applications of these equilibrium conditions for well-known channel models are illustrated. Various engineering insights and design ideas are provided. Finally, the results are extended to an incomplete information game setting, and best-response learning dynamics leading to Nash equilibria are investigated.

This research was supported in part by the U.S. National Science Foundation under Grant CNS-09-05086, and by the Australian Research Council under Grant DP-11-0102729.

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

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Inaltekin, H., Chiang, M., Poor, H.V. (2012). Selfish Random Access: Equilibrium Conditions and Best-Response Learning. In: Jain, R., Kannan, R. (eds) Game Theory for Networks. GameNets 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30373-9_12

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  • DOI: https://doi.org/10.1007/978-3-642-30373-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30372-2

  • Online ISBN: 978-3-642-30373-9

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