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28 March 2023 Non-cooperative game power control algorithm based on Sigmoid effective function in cognitive radio
Xiaojuan Bai, Panpan Cao
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Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125664S (2023) https://doi.org/10.1117/12.2667358
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China
Abstract
Cognitive Radio (CR) is applied to solve the problem of spectrum scarcity. Power control is an important aspect of cognitive radio resource management and aims to solve the power control problem of cognitive radio systems. The purpose of power control in cognitive radio systems is to minimize the interference caused by cognitive radio users to the primary users, effectively reduce the transmission power of users, and maximize the throughput of the system. In this paper, the non-cooperative game power control algorithm is applied to the cognitive radio system. The efficiency function in the traditional model is limited by the specific modulation method, and the calculation process is relatively complicated by defining the underlying utility function from the perspective of physical meaning. In this paper, based on the traditional model, an improved utility function based on the Sigmoid effective function is proposed. Combined with game theory, the uniqueness of the existence of the Nash equilibrium solution of the game model is proved. Through theoretical analysis and simulation results, the effectiveness and superiority of this power control algorithm are proved.
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Xiaojuan Bai and Panpan Cao "Non-cooperative game power control algorithm based on Sigmoid effective function in cognitive radio", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125664S (28 March 2023); https://doi.org/10.1117/12.2667358
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KEYWORDS
Cognitive modeling
Control systems
Algorithms
Technology
Telecommunications
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