RL-WGAN based method for 5G network anomalous data generation
Papers|更新时间:2026-02-10
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RL-WGAN based method for 5G network anomalous data generation
Journal on CommunicationsVol. 47, Issue 1, Pages: 156-173(2026)
作者机构:
1.重庆邮电大学通信与信息工程学院,重庆 400065
2.国防科技大学电子科学学院,湖南 长沙 410073
作者简介:
基金信息:
The National Natural Science Foundation of China(62171449;62272075);The Natural Science Foundation of Chongqing(CSTB2024NSCQ-JQX0013;CSTB2024NSCQ-QCXMX0058;CSTB2025NSCQ-LZX0050)
Ning Zhaolong,Zou Daoyuan,Zhou Li,et al.RL-WGAN based method for 5G network anomalous data generation[J].Journal on Communications,2026,47(01):156-173.
Ning Zhaolong,Zou Daoyuan,Zhou Li,et al.RL-WGAN based method for 5G network anomalous data generation[J].Journal on Communications,2026,47(01):156-173. DOI: 10.11959/j.issn.1000-436x.2026011.
RL-WGAN based method for 5G network anomalous data generation