Spectrum Allocation Based on Improved Genetic Algorithm in Cognitive Radio System
Yang Tie-ju · Jisuanji fangzhen · 2014
In the cognitive radio system,spectrum allocation technology is the key to decide whether the limited frequency spectrum can be used fully and efficiently,which depends on the optimal solution of maximizing system benefit. The hybrid adaptability was introduced firstly to solve the problems that the traditional adaptive genetic algorithm fall into local optimal solution and has a large amount of calculation,in which fixed crossover and mutation probability or adaptive crossover and mutation probability was used according to the population evolution algebra. Then the idea of golden ratio used to calculate adaptive crossover and mutation probability was presented to solve the problem of long operation time. In the end,the performance of system benefit and time cost were simulated. Simulation results show that the improved algorithm can find the optimal adaptive point quickly and accurately and improve the search efficiency,and has better system benefit.