首页|基于GAN的铁路5G-R车地无线通信测试数据生成方法

基于GAN的铁路5G-R车地无线通信测试数据生成方法

扫码查看
鉴于当前铁路5G-R应用研究中通信测试数据少的问题,结合公网5G基站的有关标准和铁路无线通信业务应用特点,提出面向铁路通信场景的基于GAN的数据生成方法.通过介绍GAN算法原理,分析5G-R通信数据特征,采用GAN模型进行5G-R业务数据生成仿真,并设计LSTM预测模型验证生成样本真实度与3GPP标准及相关规范的符合性.实验结果表明:5G-R车地无线通信测试数据GAN模型训练结果可靠,可用于5G-R业务负荷相关应用研究.
Test Data Generation Method of Railway 5G-R Train-trackside Wireless Communication Based on GAN
Targeting at the insufficiency of communication test data in the current railway 5G-R application research,this paper proposed a GAN-based data generation method for railway communication scenarios,taking account of the relevant standards of public network 5G base stations and the characteristics of railway wireless communication service applications.By introducing the principle of GAN algorithm,this paper analyzed the characteristics of 5G-R communication data,used the GAN model to simulate the generation of 5G-R service data,and designed an LSTM prediction model to verify the compliance of the authenticity of generated samples with 3GPP standards and relevant specifications.The experimental results showed that the GAN model training result of 5G-R train-trackside wireless communication test data is reliable and can be used for application research related to 5G-R service load.

5G-RGANdata generationLSTMtrain-trackside wireless communication

魏斌、邹劲柏、刘立海、王耀国、陈砚明

展开 >

上海应用技术大学轨道交通学院,上海 201418

中铁第四勘察设计院集团有限公司,湖北武汉 430063

包神铁路集团有限公司,内蒙古包头 014010

5G-R GAN 数据生成 LSTM 车地无线通信

中国国家铁路集团有限公司科技研究开发计划项目

N2022G048

2024

中国铁路
中国铁道科学研究院

中国铁路

北大核心
影响因子:0.407
ISSN:1001-683X
年,卷(期):2024.(8)
  • 8