43 citations · 79 across the 13 of their papers we have counts for
4 papers · 1 filter
ProSky: NEAT Meets NOMA-mmWave in the Sky of 6G
Ahmed Benfaid, Nadia Adem, Abdurrahman Elmaghbub
Rendering to their abilities to provide ubiquitous connectivity, flexibly and cost effectively, unmanned aerial vehicles (UAVs) have been getting more and more research attention.…
Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case
Abdurrahman Elmaghbub, Bechir Hamdaoui
Deep learning-based RF fingerprinting has recently been recognized as a potential solution for enabling newly emerging wireless network applications, such as spectrum access policy…
Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification
Bechir Hamdaoui, Abdurrahman Elmaghbub, Seifeddine Mejri
Most prior works on deep learning-based wireless device classification using radio frequency (RF) data apply off-the-shelf deep neural network (DNN) models, which were matured main…
Leveraging Hardware-Impaired Out-of-Band Information Through Deep Neural Networks for Robust Wireless Device Classification
Abdurrahman Elmaghbub, Bechir Hamdaoui
Wireless device classification techniques play a key role in promoting emerging wireless applications such as allowing spectrum regulatory agencies to enforce their access policies…