Research On Spectrum Allocation Algorithm And Model In Cognitive Radio Network

The development of radio communication technology leads to the Serious shortage of wirelessspectrum.Cognitive radio has been proposed inorder to improve the Serious shortage of wirelessspectrum.With the dynamic spectrum allocation of cognitive radio to replace the traditional staticspectrum allocation, can greatly improve spectrum utilization. Therefore,how to make cognitivesystem have an effeetive utilization of the spcetrum resource have very important significance.In the field of cognitive radio spectrum allocation, simple genetic algorithm based on graphtheory model has been applied, and achieved certain results. Simple genetic algorithm has defects asslow convergence speed, easy to premature, accuracy is low, so an improved genetic algorithm thatbases on cognitive radio spectrum allocation model of graph theory is proposed in this paper.Theimproved genetic algorithm also names adaptive niche hybrid genetic algorithm.Firstly, the authorbriefly discusses the definition of cognitive radio, and explains the key technologies andapplications of cognitive radio more detailed. The spectrum allocation principle, spectrumdistribution technology and spectrum allocation model of cognitive radio are furtherresearched.Secondly, the graph theory model that is used to color-Sensitive graph coloringalgorithm and simple genetic algorithm is mathematical descriped.Thirdly, a kind of adaptive nichehybrid genetic algorithm that bases on simple genetic algorithm is proposed to solve the spectrumallocation of cognitive radio.This algorithm introduces adaptive technology, niche technology andthe idea of simulated annealing. The simulation environment is established to simulate the proposedalgorithm. The results show that, the proposed algorithm in this paper has has faster convergencespeed and better optimization performance,and not easily fall into early maturity when it is appliedin the field of spectrum allocation.