60 citations · 63 across the 36 of their papers we have counts for
21 papers · 1 filter
Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
Peihao Dong, Jingchun Wang, Shen Gao +2
Deep learning (DL) has been widely applied to enhance automatic modulation classification (AMC). However, the elaborate AMC neural networks are susceptible to various adversarial a…
Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition
Hao Zhang, Fuhui Zhou, Qihui Wu +1
Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify the properties of the received signal in a no-collaborat…
Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management
Hao Zhang, Fuhui Zhou, Qihui Wuand Chau Yuen
In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utiliz…
SpectrumFM: Redefining Spectrum Cognition via Foundation Modeling
Chunyu Liu, Hao Zhang, Wei Wu +4
The enhancement of spectrum efficiency and the realization of secure spectrum utilization are critically dependent on spectrum cognition. However, existing spectrum cognition metho…
Joint Resource Optimization Over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks Against Jamming Attacks
Rui Ding, Fuhui Zhou, Yuhang Wu +2
Unmanned aerial vehicle (UAV) communication is of crucial importance in realizing heterogeneous practical wireless application scenarios. However, the densely populated users and d…
A Federated Learning-based Lightweight Network with Zero Trust for UAV Authentication
Hao Zhang, Fuhui Zhou, Wei Wang +2
Unmanned aerial vehicles (UAVs) are increasingly being integrated into next-generation networks to enhance communication coverage and network capacity. However, the dynamic and mob…