摘要
为提高短波通信最高可用频率预测精度以及短波通信质量,引进多模态网络,提出短波通信最高可用频率预测方法。将短波通信VNF虚拟网络终端接入PC机,在PC机设置数据与采样频率、采样时段,进行短波通信最高可用频点数据的采集与预处理;将短波通信过程中的多模态网络作为前提条件,引进网络切片技术,处理VNF虚拟网,计算短波通信VNF资源容量;引进模糊神经网络,预测短波通信最高可用频率。实验结果表明:所设计方法可以实现对短波通信最高可用频率的高精度预测,相对误差较小,提高短波通信的质量。
In order to improve the prediction accuracy of the highest available frequency of short wave communication and the short wave communication quality,the multimodal nctwork is in-troduced,and the prediction method of the highest available frequency of short wave communi-cation is proposcd.The short-wave communication VNF virtual nctwork terminal is connected to the PC,sets the data,the sampling frequcncy and the sampling time,in the PC,takes the mul-timodal network as the precondition,introduces the network slicing technology to process the VNF virtual network,calculate the capacity of VNF resources;introduces the fuzzy neural net-work to predict the maximum available frequency of short-wave communication,The experi-mental results show that the designed method can predict the high accuracy of the highest availa--ble frequency of short wave communication,with small relative error and improve the quality of short wave communication.
作者
张芮
ZHANG Rui(Shanxi Institute of Applied Science and Technology,ShanxiTaiyuan 030062 China)
出处
《长江信息通信》
2024年第5期165-168,共4页
Changjiang Information & Communications
关键词
多模态网络
频点数据
VNF资源容量
预测方法
通信频率
短波
multimodal network
frequency point data
VNF resource capacity
prediction meth-od
communication frequency
short wave