An Evolutionary Game-theoretic Approach to Spectrum Sharing System

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Cognitive radio, which learns surrounding radio environment and adaptively transmits, has attracted much attention due to its promising capability. One of enabling technologies for cognitive radio is spectrum sharing. We focused on the fact that dynamics of multiple decision-making entities in spectrum sharing can be modeled by introducing evolutionary game theory. First, the spectrum sharing system is modeled by using evolutionary game theory and its characteristic is clarified. Second, decentralized transmission scheduling to manage interference in the spectrum sharing system is proposed based on minority game, and it is revealed that the interference is well managed because the transmission timings of many transmitters are self-organized. Third, adaptive control for mobile routers is modeled and its convergence condition is clarified.