Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks

TitleGame Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks
Publication TypeConference Paper
Year of Publication2008
AuthorsPillutla, L. S., and V. Krishnamurthy
Conference NameGlobal Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Pagination1 -5
Date Publishednov.
Keywordsapproximation theory, cognitive radio, cognitive radio networks, decentralized algorithm, decentralized nature, game theoretic rate adaptation, game theory, modulation rate, Pareto analysis, Pareto-dominant Nash equilibrium, pricing, spectrum overlay, stochastic approximation, supermodular

We consider the issue of fair share of the spectrum opportunity for the case of spectrum-overlay cognitive radio networks. Owing to the decentralized nature of the network, we adopt a pricing based game-theoretic approach where the actions of players would be choosing the modulation rate. The resulting game can be verified to be supermodular, and thus has at least one pure strategy Nash equilibrium. Next, we propose a Stochastic Approximation based algorithm for the computation of best response correspondence whose convergence to the Pareto-dominant Nash equilibrium can be established. Furthermore, we also propose a decentralized algorithm for tuning the price factor of the network. Our simulation results demonstrate the gains that can be achieved with pricing.


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