首页|基于大数据技术的5G通信链路故障检测方法

基于大数据技术的5G通信链路故障检测方法

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由于5G网络具有更多的组件和更多的节点,故障检测方法需要处理大量的数据,导致故障检测结果较差.为此,基于大数据技术,开展5G通信链路故障检测方法研究.建立与5G通信网络中失效信息相关联的特征矩阵,将特征矩阵进行线性相关合成,实现5G通信链路中节点阻塞故障数据的采集与处理;利用大数据技术,模拟5G链路在通信过程中的逻辑判断与推理过程,引进逻辑判断中的径向基函数,通过大数据技术,提取5G通信链路中的故障信号特征;设定5G通信链路层级,根据不同层级中节点的分布状态,实现5G通信链路阻塞区段的识别与故障区域的定位.实验结果表明:设计方法可以确保检测结果与真实结果具有高度一致性,以此实现对5G通信链路故障的精准检测.
Failure Detection Method of 5G Communication Links Based On Big Data technology
As the 5G network has more components and more nodes,the fault detection method needs to deal with a large amount of data,resulting in poor fault detection results.To this end,based on big data technology,5G communication link fault detection method research is carried out.Establish the characteristic matrix associated with the failure information in 5G communi-cation network,synthesize the characteristic matrix to realize the collection and processing of node blocking fault data in 5G communication link,use big data technology,simulate the logi-cal judgment and reasoning process of 5G link,extract the fault signal characteristics in 5G com-munication link by big data technology,and realize the identification of 5G communication link according to the distribution status of nodes in different levels.The experimental results show that the design method can ensure that the detection results are highly consistent with the real results,so as to realize the accurate detection of 5G communication link failure.

big data technologyfault detectioncommunication linknode blocking5G com-munication

杨梅芳

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濮阳职业技术学院,河南濮阳 457000

大数据技术 故障检测 通信链路 节点阻塞 5G通信

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(5)
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