Abstract：Particle swarm optimization algorithm plays an important role in cognitive radio spectrum allocation. It can only
work in continuous and unconstrained condition. And there are the problems of premature convergence and slow convergence speed,
which are not effectively resolved. In order to effectively solve these problems, this article analyzes and improves the premature convergence
problem of particle swarm optimization (PSO), successfully applying particle swarm optimization (PSO) algorithm to
solve the problem of spectrum allocation. Considering the system total broadband returns and the fairness of user access, the corresponding
objective function is established, the feasibility and superiority of this algorithm are proved.
冀鹏飞. 基于粒子群优化算法的无线电
频谱分配方法研究[J]. 电脑与电信, 2016, 1(8): 48-50.
Ji Pengfei. Study on the Radio Spectrum Allocation Method Based on Particle
Swarm Optimization Algorithm. Computer & Telecommunication, 2016, 1(8): 48-50.
2016, Vol. 1 
