28 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
Few-Shot Specific Emitter Identification via Hybrid Data Augmentation and Deep Metric Learning
Cheng Wang, Xue Fu, Yu Wang +4
Specific emitter identification (SEI) is a potential physical layer authentication technology, which is one of the most critical complements of upper layer authentication. Radio fr…
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning
Zeyang Yang, Xue Fu, Guan Gui +4
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications. Existing deep learning-based RED methods have been proposed under the frien…
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui +4
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, the current communication system…
Deep Reinforcement Learning for UAV Navigation Through Massive MIMO Technique
Hongji Huang, Yuchun Yang, Hong Wang +3
Unmanned aerial vehicles (UAVs) technique has been recognized as a promising solution in future wireless connectivity from the sky, and UAV navigation is one of the most significan…