认知无线电多目标优化算法研究

Research on the Multi-objective Optimization Algorithm of Cognitive Radio

认知无线电是指能够感知周围频谱环境并动态使用频谱资源的智能无线通信系统。认知无线电的多目标优化问题是一个典型的动态参数优化问题。以传输能量、数据率以及误比特率等多个参数为目标,采用一种基于DNA计算的非支配排序多目标遗传算法(DNA-GA)来对其进行优化。将CR可调参数进行编码作为染色体,产生大小为N的初始化种群,并根据CR目标函数计算个体适应度,再结合克隆操作使算法收敛于全局最优,最终得到CR系统的最优操作参数。仿真结果表明,DNA-GA可以在不同用户需求情况下获得较好的性能优化。

Cognitive radio is an intelligent wireless communication system which can detect the spectrum environment and use free spectrum resource. The Multi-objective Optimization Algorithm of Cognitive Radio is a typical dynamic parameter optimization problem. Taking parameters like transmission power, data rate and false bitrates as objectives, this paper presents an optimization algorithm based on a DNA multi-objective genetic algorithm （DNA-GA）. Then it encodes the CR adjustable parameter as chromosomes and gains the initialization population about N, and calculates the individual fitness goals with the CR objective function, meanwhile clone operator is used to converge to the global pareto-optimal, thus to finally get the optimal operation parameters of CR. The simulation results in different service requirements show that DNA-GA can achieve effectively good performance optimization.