摘要
结合WRAN(无线区域网)给出了频谱感知过程;通过分析无线认知网络的物理连接,给出了频谱分配的数学模型,并将此模型转换为以网络效益最大化为目标的带约束优化问题,进而提出一种基于免疫克隆选择优化的认知无线网络频谱分配算法,并证明了该算法以概率1收敛。最后,对此算法进行了仿真实验。实验结果表明:所提算法与CSGC(颜色敏感图着色)算法、GA-SA(基于遗传算法的频谱分配)算法相比,能更好地实现网络效益最大化,同时,基于WRAN的系统级仿真结果,进一步证明了算法的有效性。
The spectrum sensing process was described based on WRAN.By analyzing physical connection of cognitive wireless network,the mathematical model of spectrum allocation was given,and then it was converted into a constrained optimization problem,whose goal was to maximum the profit of network.An immune clone selection algorithm was proposed to solve the problem,and the algorithm convergent with probability 1 was proved.Finally,the simulation experiments were done to test the algorithm.The results showed that compared with CSGC algorithm（color-sensitive graph coloring） and GA-SA（spectrum allocation based on genetic algorithm）,this algorithm could achieve maximization of network profits.Meanwhile,the system simulation results based on WRAN confirmed its effectiveness.
出处
《通信学报》
EI
CSCD
北大核心
2010年第11期92-100,共9页
Journal on Communications
基金
国家高技术研究发展计划("863"计划)基金资助项目(2009AA12Z210)
国家自然科学基金资助项目(60703107
61003199)
陕西省"13115"重大科技创新工程专项基金资助项目(2008ZDKG-37)~~
关键词
免疫克隆选择
认知无线网络
频谱分配
收敛性
网络效益
无线区域网
immune clone selection
cognitive wireless network
spectrum allocation
convergence
network profits
WRAN
