The Research Of Resource Allocation And Routing Selection In Cognitive Heterogeneous Wireless Networks

Wireless communication technology is developing in the direction of high speed,low delay,high reliability and super bandwidth,and users are putting forward higher requirements for the performance of current communication technology.Different types of communication subnets and different types of terminals interconnect and fuse to form heterogeneous networks,effectively improving network communication performance.The cognitive radio technology is introduced into heterogeneous networks,and the network users are divided into primary users and cognitive users by utilizing the spectrum sensing access advantage of cognitive radio technology,so as to effectively improve the utilization rate of spectrum resources in communication networks,so as to cope with the challenge of spectrum resources shortage.The main tasks are as follows:(1)The cognitive radio technology is introduced into the heterogeneous network to build the cognitively heterogeneous network,and the resource allocation model of the cognitively heterogeneous cellular network based on power control and interference suppression and the cognitively heterogeneous sensor network routing model based on Qo S routing optimization and delay prediction are respectively established.(2)An improved mayfly algorithm is used to solve the resource allocation problem in cognitively heterogeneous cellular networks,and an optimal spectrum resource allocation scheme is sought.In the modified ephemera algorithm,the inertial weight of incomplete Gamma and Beta functions is introduced to improve the mayfly algorithm,and the golden sine strategy is introduced to improve the search ability and rate of convergence the algorithm,to achieve the optimization of solving the allocation problem.In the network model,open/closed loop power control and interference suppression based on SINR are adopted to improve the Qo S of users.Simulation results show that the proposed scheme maximizes the energy efficiency of the cognitive heterogeneous cellular network,reduces the interference in the system,improves the communication capacity and performance of the system,and improves the Qo S of users.(3)The improved chameleon swarm algorithm is used to solve the problem of cognitive routing in cognitive heterogeneous sensor networks.For chameleon swarm algorithm,the convergence accuracy and speed of the chameleon swarm algorithm are improved by introducing the segmented learning strategy of fusion mirror,the diversified segmented mutation strategy and the S-type decreasing inertia weight strategy.The next hop node of cognitive sensor node in cognitive heterogeneous sensor network is selected and the Qo S routing constraint of transmission is met by simulation experiments,and the optimal routing scheme is obtained.Simulation results show that the proposed method can effectively reduce the energy consumption and improve the transmission efficiency of cognitive heterogeneous sensor networks.