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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.
Aiming at the problem of power allocation in wireless multi-user orthogonal frequency division multiplexing (OFDM) system, a resource allocation algorithm based on utility function maximization framework is proposed. In practical network environment, such optimization algorithm is non- The classical optimization method is hard to solve.To this end, the particle swarm optimization method in intelligent optimization is applied to the design of non-convex optimization algorithm, and the particle swarm optimization is easily trapped in the local extreme points, Logistic chaos search is embedded into the PSO algorithm , A chaos particle swarm optimization algorithm is proposed.Compared with other algorithms, the proposed algorithm not only effectively solves the problem of non-convexity, but also can make the system have better performance.