Summary: | 碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 100 === Cognitive radio is a new paradigm in wireless communications that promises an enhanced utilization of the limited spectral resource. Cooperative relay enhances network connection quality and improved system throughput. Applying cooperative relay communication technique on cognitive radio networks enables the primary users (PUs) to involve secondary users (SUs) as the cooperative relays. This integrated design that benefits from both cognitive network operation and cooperative transmissions. In the cooperative cognitive radio networks, the PUs select their respective set of SUs to serve as the cooperative relays for their transmission.
Multiple SUs trade the transmission energy for access opportunity from PUs. In this paper, we will propose a game-theoretic framework for modeling the interactions among multiple PUs and multiple SUs aiming at maximizing their revenue. To model the competition among the primary users, a noncooperative game is formulated where the Nash equilibrium is considered as a solution. For a PU, an iterative algorithm for strategy adaption is proposed. The evolution and dynamic behavior of SUs is formulated as an evolutionary game. Also, an algorithm for implementing the evolution process at each SU is presented.
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