1 citations · 1 across the 3 of their papers we have counts for
6 papers
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…
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…
SpectrumFM: A Foundation Model for Intelligent Spectrum Management
Fuhui Zhou, Chunyu Liu, Hao Zhang +4
Intelligent spectrum management is crucial for improving spectrum efficiency and achieving secure utilization of spectrum resources. However, existing intelligent spectrum manageme…
Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions
Hao Zhang, Fuhui Zhou, Hongyang Du +2
Wireless signal recognition (WSR) is a crucial technique for intelligent communications and spectrum sharing in the next six-generation (6G) wireless communication networks. It can…