粒子群优化的时频联合资源分配算法

Time frequency joint resources allocation algorithm based on particle swarm optimization

针对航空通信环境中正交频分多址系统的资源分配问题,在信道资源有限的约束条件下,以最大化用户节点的效用总和为目标,提出了一种基于粒子群优化(PSO)的时频联合资源分配算法。该算法采用离散变量来编码粒子位置,并针对离散空间构建新的基于概率信息的粒子速度和位置更新算法。仿真结果表明:所提出的资源分配算法在效用总和、公平性等方面优于现有资源分配算法。

Aiming at problem of resource allocation in orthogonal frequency division multiple access （OFDMA） systems in aviation communication environment is investigated, in order to maximize the sum of utility of all users under constraint of channel resource, a time frequency joint resource allocation algorithm based on particle swarm optimization（PSO） is proposed. The algorithm uses discrete variable to encode particle position,and new updating algorithm of particle velocity and particle positions based on probability information are constructed for discrete space. Simulation results show that the proposed algorithm is superior to existing algorithms sum of utility and fairness.