A power control algorithm based on game theory in cognitive radio
Xiaojuan Bai, Zhijie Jin, Panpan Cao · 2022 International Conference on Big Data, Information and Computer Network (BDICN) · 2022
Power control algorithm can reduce the interference of secondary users to primary users to improve the system performance of cognitive networks. This paper uses non- cooperative game theory to model the power control problem in cognitive networks and proposes a new power control algorithm based on game theory, then the uniqueness and existence of the Nash equilibrium solution is proved. Finally, the algorithm proposed in this paper is compared with two classical algorithms in terms of average transmit power, average SINR, and convergence. The software simulation shows that the algorithm proposed is more effective on the condition of low transmit power and good SINR. Besides the fairness of spectrum sharing is improved.