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基于多模态网络的短波通信最高可用频率预测

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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.
Prediction of the highest available frequency for short-wave communication based on a multimodal network
In order to improve the prediction accuracy of the highest available frequency of short wave communication and the short wave communication quality,the multimodal network is in-troduced,and the prediction method of the highest available frequency of short wave communi-cation is proposed.The short-wave communication VNF virtual network terminal is connected to the PC,sets the data,the sampling frequency 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.

multimodal networkfrequency point dataVNF resource capacityprediction meth-odcommunication frequencyshort wave

张芮

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山西应用科技学院,山西 太原 030062

多模态网络 频点数据 VNF资源容量 预测方法 通信频率 短波

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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