摘要
针对认知无线电中信道资源短缺和信道资源分配不合理的现状,提出一种线星型网络信道质量评估和信道资源优化分配算法.该算法产生一组以可靠性为准的排队序列和权重分配方法,作为簇头和网关处信道资源的分配基础.由于同一层簇头节点对信道的评判能力差、感知能力弱,利用网关节点合作感知以在线排队模型与最优融合准则,实现对信道资源分配.此外,引入遗传算法,结合其基础原理,运用变异和重组的方法对网关节点处形成的专家意见权重进行调节,实现信道资源优化分配.利用MATLAB软件进行仿真,实验结果表明利用该算法对信道的优化分配具有一定的优越性.
Aiming at the shortage of channel resources and unreasonable channel resource allocation in cognitive radio,we propose a line star network channel quality assessment and channel resource optimization allocation algorithm.The algorithm generated a set of queuing sequence and weight allocation method based on reliability,which were used as the basis for the allocation of channel resources at the cluster head and the gateway.Since the cluster head nodes in the same layer have poor judgment ability and weak perception,we adopted cooperative sensing of gateway nodes to realize channel resource allocation with the online queuing model and the optimal fusion criterion.The genetic algorithm was introduced.Combined with its basic principle,we used the mutation and recombination methods to adjust the expert opinion weight formed at the gateway node to realize the optimal allocation of channel resources.The simulation was carried out by using MATLAB.The experimental result shows that the algorithm has certain advantages for the optimal allocation of channels.
作者
许洪华
徐驰
顾玲丽
刘青松
Xu Honghua;Xu Chi;Gu Lingli;Liu Qingsong(School of Electronic and Information Engineering,Suzhou University of Science and Technology,Suzhou 215009,Jiangsu,China)
出处
《计算机应用与软件》
北大核心
2019年第11期112-120,共9页
Computer Applications and Software
基金
国家自然科学基金项目(61602334,61502329)
关键词
信道优化
信道评估
在线排队
遗传算法
Channel optimization
Channel estimation
Online queuing
Genetic algorithm
作者简介
许洪华,教授,主要领域:工业数据通信与控制网络,智能建筑;徐驰,硕士生;顾玲丽,硕士生;刘青松,硕士生。
