Research On The Cognitive Radio Network Spectrum Allocation Strategy Based On Intelligent Algorithm

With the rapid development of wireless communication technology and the surge of end users,people's demand for wireless spectrum resources is also increasing.However,the available wireless spectrum resources are limited and their utilization rate is low.In this context,the spectrum allocation strategy of cognitive radio network based on cognitive radio technology has been paid close attention by many experts and scholars.In the dynamic spectrum allocation method for cognitive radio networks,by sharing spectrum between two different types of users in real time,the utilization rate of network spectrum can be effectively improved,it is of great significance to solve the current shortage of spectrum resources.This paper analyzes the key technologies in the cognitive radio network model,and further studies the spectrum allocation strategy.Aiming at the superiority of intelligent optimization algorithm in solving NP hard problems,the relevant spectrum allocation strategy based on genetic,immune optimization and fireworks algorithm was applied,and its feasibility was verified in the experiment.The specific work is as follows:1?The spectrum allocation problem of cognitive radio networks is modeled by graph theory coloring model.Cognitive users use the spectrum of authorized users through opportunistic access,and the topology of cognitive radio network is established based on the interference and constraint relationship between users.2?The spectrum allocation strategy based on genetic immune optimization algorithm is used.Two kinds of intelligent algorithms,genetic and immune optimization,are used to optimize the spectrum allocation problem in two levels.And the network efficiency,proportional fairness among users are used as the objective functions to carry out the simulation analysis.3?The fireworks algorithm is applied to the spectrum allocation problem of cognitive radio network,and the traditional fireworks algorithm is improved.It also proposes a distribution method based on the needs of cognitive users,fully considering the degree of distribution needs of each cognitive user.Experimental simulations are performed to verify the effectiveness of the improved fireworks algorithm for solving the problem of on-demand spectrum allocation.The results of simulation experiments show that,the two intelligent algorithm-based cognitive radio network spectrum allocation strategies proposed in this paper have certain advantages in solving the spectrum problem,and can improve the overall performance of the network.