Research On Anti-Interference Strategy Of Multi-Cognitive Network

With the rapid development of wireless communication technology and the increasing number of wireless communication services,spectrum resources have become increasingly precious.In order to solve the problem of spectrum resource shortage,cognitive radio technology was born.Various wireless communication systems are constantly overlapping each other,and the interference level between cognitive wireless networks is gradually increasing,which in turn affects communication quality and reduces network performance.Therefore,the research on interference control in multiple cognitive wireless network scenarios has certain practical significance.This paper first studies the interference control problem based on spectrum allocation in a multi-cognitive network scenario by constructing a non-cooperative game model.The corresponding utility function is designed,and the Nash equilibrium solution of the proposed model is proved.Secondly,an improved swarm intelligence algorithm is proposed to solve the problem:a bat algorithm based on adaptive weights,and an adaptive weight strategy is added to its speed update formula to improve the overall algorithm performance.The simulation verifies the effectiveness of the game model proposed in this paper.At the same time,this paper solves the problem of interference control in multi-cognitive networks by analyzing and researching power control technology.By adjusting the transmit power of cognitive users,combined with the classic K-G power control algorithm,an improved power control algorithm is proposed,and the existence and uniqueness of its Nash equilibrium is proved.Simulation results show that the power control algorithm proposed in this paper can effectively reduce the transmit power of cognitive users,reduce the interference level of multi-cognitive network systems,and improve network performance.