基于多模态网络的短波通信最高可用频率预测  

Prediction of the highest available frequency for short-wave communication based on a multimodal network

作　　者：张芮 ZHANG Rui(Shanxi Institute of Applied Science and Technology,ShanxiTaiyuan 030062 China)

机构地区：[1]山西应用科技学院,山西太原030062

出　　处：《长江信息通信》2024年第5期165-168,共4页Changjiang Information & Communications

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.

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 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]