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