28 citations · 67 across the 17 of their papers we have counts for
18 papers
Digital Twin-Empowered Communications: A New Frontier of Wireless Networks
Lina Bariah, Hikmet Sari, Merouane Debbah
The future of wireless network generations is revolving toward unlocking the opportunities offered by virtualization and digitization services, with the aim to realize improved qua…
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…
Analysis of the Power Imbalance in Power-Domain NOMA on Correlated Rayleigh Fading Channels
Shaokai Hu, Hao Huang, Guan Gui +1
This paper analyzes the power imbalance issue in power-domain NOMA (PD-NOMA) in the presence of channel correlations, typically encountered on the downlink of cellular systems when…
An Analysis of the Power Imbalance on the Uplink of Power-Domain NOMA
Shaokai Hu, Hao Huang, Guan Gui +1
This paper analyzes the power imbalance factor on the uplink of a 2-user Power-domain NOMA system and reveals that the minimum value of the average error probability is achieved wh…
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…