Abstract
Cognitive Radio (CR) has been proposed as a promising technique to solve spectrum scarcity problem in wireless communications. For the implementation of CR, one major challenge is to design distributed spectrum sharing, which needs to efficiently coordinate CRs in accessing the spectrum opportunistically based on only local information. To address this problem, in this paper, we make use of the heterogeneity among users in cognitive radio networks (CRNs) and propose a distributed cooperative game with classified players. A prioritized CSMA/CA technique is adopted so that CRs select channels and their priority to access channel based on their satisfaction history, a public signal for CRs to collaborate to achieve the Correlated Equilibrium (C.E.). A no-regret learning algorithm is adopted to learn the C.E. Simulation results show that the proposed C.E. based classified game (CECG) can achieve up to 40% better performance compared to the unclassified one.
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References
Mitola III, J.: Cognitive radio: an integrated agent architecture for software defined radio. Ph.D. Thesis, KTH Royal Inst. Technology, Stockholm, Sweden (2000)
Atakan, B., Akan, O.B.: BIOlogically-inspired spectrum sharing in cognitive radio networks. In: Wireless Communications and Networking Conference, WCNC 2007, pp. 43–48. IEEE (2007)
Liu, J., Shen, L., Song, T., Wang, X.: Demand matching spectrum sharing game for non-cooperative cognitive radio network. In: International Conference on Wireless Communications & Signal Processing, WCSP 2009, pp. 1–5 (2009)
Zhu, H., Pandana, C., Liu, K.J.R.: Distributive Opportunistic Spectrum Access for Cognitive Radio using Correlated Equilibrium and No-Regret Learning. In: Wireless Communications and Networking Conference, WCNC 2007, March 11-15, pp. 11–15. IEEE (2007)
Maskery, M., Krishnamurthy, V., Qing, Z.: Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game. IEEE Transactions on Communications 57(2), 459–469 (2009)
Mangold, S., Choi, S., May, P., Klein, O., Hiertz, G., Stibor, L.: IEEE 802.11e Wireless LAN for Quality of Service. In: Proc. IEEE European Wireless 2002, Florence, Italy (February 2002)
Blake, S., et al.: An Architecture for Differentiated Services, RFC 2475 (December 1998)
Weisstein, E.W.: Maximum Likelihood. From MathWorld–A Wolfram Web Resource, http://mathworld.wolfram.com/MaximumLikelihood.html
Aumann, R.J.: Subjectivity and correlation in randomized strategy. Journal of Mathematical Economics 1(1), 67–96 (1974)
Hart, S., Mas-Colell, A.: A simple adaptive procedure leading to correlated equilibrium. Econometrica 68(5), 1127–1150 (2000)
Hart, S., Mas-Colell, A.: A reinforcement procedure leading to correlated equilibrium. In: Economic Essays, pp. 181–200. Springer, Heidelberg (2001)
Pillutla, L.S., Krishnamurthy, V.: Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks. In: Global Telecommunications Conference, IEEE GLOBECOM 2008, November 30-December 4, pp. 1–5. IEEE (2008)
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Cui, S., Cai, J. (2012). Demand-Matching Spectrum Sharing in Cognitive Radio Networks: A Classified Game. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_51
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DOI: https://doi.org/10.1007/978-3-642-30493-4_51
Publisher Name: Springer, Berlin, Heidelberg
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