Abstract
The problem of dynamic spectrum access in cognitive radio environments is addressed using a game theoretic approach. In order to investigate the relevance of certain equilibrium concepts for this problem, two oligopoly game models – Cournot and Stackelberg – are considered. For a more realistic formulation of the game, a modified rationality paradigm is considered. Within this paradigm agents may have approaches and biases towards different equilibrium concepts. We investigate the Pareto equilibrium and a new equilibrium concept – the joint Nash-Pareto equilibrium.
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References
Neel, J.O., Reed, J.H., Gilles, R.P.: Game Models for Cognitive Radio Algorithm Analysis (2004), http://www.mprg.org/people/gametheory/presentations.shtml
MacKenzie, A., Wicker, S.: Game Theory in Communications: Motivation, Explanation, and Application to Power Control. In: Globecom 2001, pp. 821–825 (2001)
Huang, J.W., Krishnamurthy, V.: Game Theoretic Issues in Cognitive Radio Systems. J. of Comm. 4(10), 790–802 (2009)
Dumitrescu, D., Lung, R.I., Mihoc, T.D.: Evolutionary Equilibria Detection in Non-Cooperative Games. In: Giacobini, M., Brabazon, A., Cagnoni, S., Di Caro, G.A., Ekárt, A., Esparcia-Alcázar, A.I., Farooq, M., Fink, A., Machado, P. (eds.) EvoStar 009. LNCS, vol. 5484, pp. 253–262. Springer, Heidelberg (2009)
Dumitrescu, D., Lung, R.I., Mihoc, T.D.: Generative relations for evolutionary equilibria detection. In: Genetic and Evolutionary Computation Conf GECCO ’09, pp. 1507–1512 (2009)
Osborne, M.J.: An Introduction to Game Theory. Oxford Univ. Press, Oxford (2004)
Maskery, M., Krishnamurthy, V., Zhao, Q.: Game Theoretic Learning and Pricing for Dynamic Spectrum Access in Cognitive Radio. In: Hossain, E., Bhargava, V.K. (eds.) Cognitive Wireless Communication Networks. Springer, New York (2007)
Popovski, P., Yomo, H., Prasad, R.: Strategies for Adaptive Frequency Hopping in the Unlicensed Bands. IEEE Wireless Communications, 60–67 (2006)
Cordeiro, C., Challapali, K., Birru, D.: IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios. J. of Comm. 1(1), 38–47 (2006)
Srinivasa, S., Jafar, S.A.: The Throughput Potential of Cognitive Radio: A Theoretical Perspective. IEEE Communications Magazine, 73–79 (2007)
Niyato, D., Hossain, E.: Microeconomic Models for Dynamic Spectrum Management in Cognitive Radio Networks. In: Hossain, E., Bhargava, V.K. (eds.) Cognitive wireless communication networks. Springer, New York (2007)
Luise, M., Bacci, G.: A Noncooperative Approach to Joint Rate and Power Control for Infrastructure Wireless Networks. In: Proc. of ICST Int. Conf. on Game Theory for Networks, Istanbul, pp. 33–42 (2009)
Mitola, J.: Cognitive radio: An integrated agent architecture for software defined radio, PhD Dissertation Royal Inst. Technol. (KTH), Stockholm, Sweden (2000)
Deb, K., Agrawal, S., Pratab, A., Meyarivan, T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. In: Schoenauer, M., Deb, K., Rudolph, G., Yao, X., Lutton, E., Merelo, J.J., Schwefel, H.P. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 849–858. Springer, Heidelberg (2000)
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Cremene, L., Dumitrescu, D., Nagy, R. (2010). Oligopoly Game Modeling for Cognitive Radio Environments. In: Balandin, S., Dunaytsev, R., Koucheryavy, Y. (eds) Smart Spaces and Next Generation Wired/Wireless Networking. ruSMART NEW2AN 2010 2010. Lecture Notes in Computer Science, vol 6294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14891-0_20
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DOI: https://doi.org/10.1007/978-3-642-14891-0_20
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