Research On Cognitive Radio Multi-Strategy Spectrum Allocation Based On Intelligent Bird Optimization Algorithm

As the use of fifth-generation mobile communication technology(5G)becomes more widespread,the demand for spectrum is also growing.However,the traditional spectrum allocation method has the problem of waste of spectrum resources and cannot guarantee its fairness.As a key technology to solve the low spectrum utilization,cognitive radio has received extensive attention from many scholars.To improve the efficiency of the use of spectrum resources in cognitive radio networks,the graph theory shading model is used to allocate spectrum in this dissertation,and the alocation process is iteratively combined with the bird group intelligent optimization algorithm,and the optimal spectrum allocation strategy is calculated and evaluated,and the equilibrium state is found.The convergence speed is improved while ensuring spectrum utilization.The main contents are as follows:(1)Aiming at the problem that there may be a problem of falling into local optimization in the later stage,a spectrum allocation method of graph shading model based on improved sparrow search algorithm is proposed.Sparrow search algorithm is a new type of global optimization algorithm,which has the advantages of few control parameters,high solution accuracy,and easy combination with other algorithms.By constructing an interference graph to represent the topology and interference situation of a cognitive wireless network,a cognitive radio spectrum allocation model based on graph coloring theory is established.The Levy flight strategy and lens imaging reverse learning strategy are introduced into the sparrow search algorithm to avoid premature convergence of the algorithm into local optimum.The improved sparrow search algorithm is used to iterate the population,and the optimal spectrum resource allocation matrix and fitness value of cognitive users are solved to achieve the optimal spectrum allocation strategy.(2)An improved seagull algorithm combined with a spectrum allocation strategy for closed-loop power control is proposed.Firstly,the individual position of randomly wandering seagulls is updated by the golden sine algorithm to enhance the global optimization ability of the algorithm.Then,the solution of the seagull optimization algorithm is cloned,mutated,selected and other operations are performed to expand the search of the solution space.The improved Seagull algorithm is used to seek the optimal spectrum resource allocation matrix and fitness value for cognitive users,and eight benchmark functions are used to compare the improved algorithm.Considering that the interference between users in the system will affect the communication quality,the feedback effect in the closedloop power control algorithm adjusts the appropriate transmission power in time for the cognitive user,optimizes the spectral resource efficiency,ensures the user communication quality,and achieves the maximum total throughput of the system.From the analysis of simulation results,it can be obtained that the two improved spectrum allocation strategies described in this paper have good results in the spectrum allocation problem of graph shading theory model,which can improve the utilization of spectrum resources of the system.