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Spectrum Usage Anomaly Detection from Sub-Sampled Data Stream via Deep Neural Network

Han Zhang Jian Yang Junting Chen Yue Gao

通信与信息网络学报（英文）2023，Vol.8Issue(1)：13-23,11.

Spectrum Usage Anomaly Detection from Sub-Sampled Data Stream via Deep Neural Network

Han Zhang ¹Jian Yang ²Junting Chen ³Yue Gao⁴

作者信息

1. Institute for Communication Systems,the University of Surrey,Guildford GU2 7XH,UK
2. Mobile Communications Innovation Center,China Academy of Information and Communications Technology,Beijing 100191,China
3. Future Network Intelligence Institute(FNii)and School of Science and Engineering,the Chinese University of Hong Kong,Shenzhen 518172,China
4. School of Computer Science,Fudan University,Shanghai 200433,China||Institute for Communication Systems,the University of Surrey,Guild-ford GU2 7XH,UK
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摘要

关键词

compressive sensing(CS)/machine learning(ML)/multicoset sampling/anomaly detection

Key words

compressive sensing(CS)/machine learning(ML)/multicoset sampling/anomaly detection

引用本文复制引用

Han Zhang,Jian Yang,Junting Chen,Yue Gao..Spectrum Usage Anomaly Detection from Sub-Sampled Data Stream via Deep Neural Network[J].通信与信息网络学报（英文）,2023,8(1):13-23,11.

基金项目

This work was supported by the Engineering and Physical Sci-ences Research Council of United Kingdom under the Grant EP/R00711X/2.The work of Junting Chen was supported by the National Natural Science Foundation of China under Grant 62171398 and Grant 92067202. （）

通信与信息网络学报（英文）

OACSCDEI

ISSN：2096-1081

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