12 citations · 21 across the 7 of their papers we have counts for
16 papers
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…
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
Xue Fu, Yang Peng, Yuchao Liu +4
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both military and civilian scenarios. It refers to a process to discriminate individual em…
A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features
Yibin Zhang, Jinlong Sun, Guan Gui +2
Millimeter wave (mmWave) communication technique has been developed rapidly because of many advantages of high speed, large bandwidth, and ultra-low delay. However, mmWave communic…
Designing Wireless Powered Networks assisted by Intelligent Reflecting Surfaces with Mechanical Tilt
Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov +1
In this paper, we propose a fairness-aware rate maximization scheme for a wireless powered communications network (WPCN) assisted by an intelligent reflecting surface (IRS). The pr…
On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment
Suren Sritharan, Harshana Weligampola, Haris Gacanin
This paper studies practical limitations of learning methods for resource management in non-stationary radio environment. We propose two learning models carefully designed to suppo…