基于GAEA算法的认知无线电频谱分配  

Spectrum Allocation in Cognitive Radio based on Genetic Annealing Evolutionary Algorithm

作　　者：张晶如[1] 邵建华[1] 于笃发[1] 

机构地区：[1]南京师范大学物理科学与技术学院,江苏南京210023

出　　处：《通信技术》2013年第2期16-18,25,共4页Communications Technology

摘　　要：针对基于多通道认知无线电的通信系统的分析,设计了一种带参数的信道模型。利用遗传退火进化算法优化各个信道参数,合理分配当前频谱资源,最终获得整体最大的传输收益。通过对模型的性能分析和仿真,并且经过该算法与其他算法的比较,验证了该算法的通用性和有效性。进而讨论信道目标函数和通道参数设置的关系,从而最终获得总体性能的平衡。Based on analysis of the communication system based on multi-channel cognitive radio, a channel model with parameters is designed, and this model, with GAEA algorithm （Genetic Annealing Evolutionary Algorithm）, optimizes the parameters of each channel and rationally allocates the spectrum resources, thus to acquire the maximum transmission efficiency. Performance analysis and simulation on the model indicate the versatility and effectiveness of the algorithm. Meanwhile the relationship between objective function and parameter settings of the channel is discussed, so as to obtain the balance of overall performance.

关 键 词：认知无线电 频谱分配 遗传退火进化算法 

分 类 号：TN92[电子电信—通信与信息系统]