一种基于混沌粒子群优化的OFDM系统资源分配算法

OFDM resource allocation algorithm based on chaos particle swarm optimization

针对无线多用户正交频分复用(OFDM)系统中功率分配问题,提出一种基于效用函数最大化框架的资源分配算法.在实际网络环境中,此类最优化算法为非凸的,利用经典最优化方法很难解决.为此,将智能优化中的粒子群方法应用到非凸优化算法设计中,并针对粒子群优化容易陷入局部极值点的问题,将Logistic混沌搜索嵌入PSO算法中,提出混沌粒子群算法.与同类算法相比,所提出算法不仅有效解决了非凸性问题,而且可以使系统具有更好的性能.

This paper presents a efficient resource allocation algorithm for the multiuser orthogonal frequency division multiplexing（OFDM） system based on the network utility maximization framework. In the wireless context, the optimization problem is nonconvex, which makes the problem difficult to be solved by using the classical optimization theory. Particle swarm optimization（PSO） algorithm is applied to the design of the optimization problem. To improve the performance of standard PSO algorithm and avoid trapping to local excellent result, a chaos PSO（CPSO） algorithm is presented, which embeds logistic chaos into the PSO algorithm. The proposed algorithm can solve the nonconvex optimization problem efficiently and outforms other algorithms.