基于混沌量子蜂群算法的认知无线电频谱分配  

Cognitive Radio Spectrum Allocation Based on Chaos Quantum Honey Bee Algorithm

作　　者：薛伟[1] 张玉兵[1] 林法杰[1] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《微电子学与计算机》2014年第8期72-75,共4页Microelectronics & Computer

摘　　要：在图论着色模型的基础上,提出了一种基于混沌量子蜂群算法的认知无线电频谱分配方法.该算法基于人工蜂群理论,结合量子计算的高效性和混沌初始化的遍历性来实现频谱分配的优化问题.通过实验仿真比较了此算法与颜色敏感度图论算法、量子遗传算法、量子蜂群算法的性能,结果表明该算法具有更好的收敛性和网络效益.On the basis of classical graph coloring model ,a cognitive radio spectrum allocation algorithm based on chaos quantum honey bee is presented .The algorithm is based on the theory of artificial colony ,combining with the efficiency of quantum computing and the ergodicity of chaotic initialization to realize the spectrum allocation optimization problem . The simulation experiments show that compared with the color sensitive graph coloring algorithm ,the spectrum allocation based on quantum-inspired genetic algorithm ,and the spectrum allocation based on quantum-inspired bee colony optimization algorithm , the algorithm in this paper has good convergence and performances.

关 键 词：混沌量子蜂群算法 认知无线电 频谱分配 图论着色 

分 类 号：TN925[电子电信—通信与信息系统]