文章摘要
李一兵,杨蕊,叶方,高振国.基于约束模板实现认知无线电网络频谱分配的遗传算法[J].高技术通讯(中文),2012,22(5):497~501
基于约束模板实现认知无线电网络频谱分配的遗传算法
A genetic algorithm for spectrum assignment in cognitive radio networks based on constraint templates
  修订日期:2011-03-10
DOI:
中文关键词: 认知无线电, 频谱分配, 遗传算法, 约束条件, 约束模板
英文关键词: cognitive radio, spectrum assignment, genetic algorithm, constraint condition, constraint templates
基金项目:国家自然科学基金(60703090)和中央高校基本科研业务费专项资金(HEUCF100809)资助项目
作者单位
李一兵 哈尔滨工程大学信息与通信工程学院 
杨蕊 哈尔滨工程大学信息与通信工程学院 
叶方 哈尔滨工程大学信息与通信工程学院 
高振国 哈尔滨工程大学自动化学院 
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中文摘要:
      对遗传算法用于解决认知无线电网络频谱分配中的无干扰约束条件问题进行分析,提出一种基于约束模板进行认知无线电网络频谱分配的遗传算法模型,该模型以系统效用最大化为目标求得无干扰的约束模板,利用约束模板的标号组合构成染色体,再通过遗传算子的进化选择适应度函数更大的约束模板组合,最终得到无干扰的可行分配策略。仿真结果表明,该算法可以避免利用传统遗传算法进行频谱分配的模型在进化过程中对种群中染色体重复性的无干扰约束处理,及由于无干扰约束处理引起的适应度函数减小等问题,可获得更高的系统效用。
英文摘要:
      This paper discusses the noninterference constraints of the genetic algorithm based spectrum assignment problem in cognitive radio networks, and proposes a model for spectrum assignment using the genetic algorithm based on constraints templates. The noninterference constraint templates are calculated aiming at maximizing the system utility, and the chromosome in the proposed algorithm is composed of the indexes of the constraint templates. Thus the combination of the constraint templates with high fitness is obtained through the evolution of genetic operators, and then the feasible spectrum assignment strategy without interference is achieved. The simulation results show that the proposed spectrum assignment model can improve the system utility and avoid some problems in conventional genetic spectrum assignment models, such as repetitive constraints free process of the population and the corresponding reduction of fitness function caused by the constraints free process.
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