基于遗传算法的SOFDM信道资源动态分配策略

对卫星正交频分复用(Satellite Orthogonal Frequency Division Multiplexing,SOFDM)传输体制进行信道资源分配时,采用传统定界分类法存在效率较低,功率资源浪费较大等问题。文中提出一种改进的信道资源动态分配新策略,引入生物遗传算法,对信道传输特性进行适应性评估,按照"优胜劣汰,适者生存"的进化原则对信道子载波频率和功率资源进行有效分配。仿真分析结果表明,新策略获得了优于传统定界分类法的效果,在算法运行时间与传统方法基本相当的情况下,采用生物遗传算法的SOFDM系统能够更加合理地分配系统频率资源,使系统功率资源产生约1dB的增益,并有效降低系统误包率。

Genetic Arithmetic Based Dynamic Channel Allocation Algorithm for SOFDM System in Satellite Multimedia Broadcastings

The satellite orthogonal frequency division multiplexing (SOFDM) system is usually considered as an enormous amount of sub-carriers and large-scaled system architecture,as well as complicated channel transmitting characteristics,which makes some traditional dynamic channel resource allocation methods inefficient and induces to much power loss,such as the fixed group classification means. An improved method was proposed,which was designed to allot frequency and power resources via the genetic arithmetic with the survival of the fittest principle. The experimental results demonstrate that it can assign the sub-carriers and power in a more reasonably manner. Although its computational complex is equivalent in comparison with the genetic method,this novel means is able to save the system power almost 1dB,so as to remarkably spare the system resources and also improve the system package error rate (PER) performance.