Abstract:In the underlay mode underlay, for the issue that the SU elevate their profits by enhancing transmitting power, we propose the power control for cognitive radio networks based on a game theory. Firstly, under the condition of meeting the normal communication between the main users and the SU, we need to introduce channel condition into utility function so as to increase punishment for rational user's selfishness. Secondly, it need to prove that the existence of Nash equilibrium can be found and Nash equilibrium is unique. Finally, the general iterative method is used to find the optimal solution. The experiment shows that the proposed algorithm can reduce the user's transmitting power, have a better anti-background noise ability, and increase the throughput capacity of the system.
刘觉夫,王建夏,陈 娇. 基于博弈论的认知无线网络中一种功率控制算法[J]. 华中师范大学学报(自然科学版), 2020, 54(2): 194-199.
LIU Juefu,WANG Jianxia,CHEN Jiao. The power control for cognitive radio networks based on a game theory. journal1, 2020, 54(2): 194-199.