22 citations · 31 across the 18 of their papers we have counts for
18 papers
Dynamic Online Modulation Recognition using Incremental Learning
Ali Owfi, Ali Abbasi, Fatemeh Afghah +2
Modulation recognition is a fundamental task in communication systems as the accurate identification of modulation schemes is essential for reliable signal processing, interference…
Attention-based Open RAN Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah, Jonathan Ashdown
As emerging networks such as Open Radio Access Networks (O-RAN) and 5G continue to grow, the demand for various services with different requirements is increasing. Network slicing…
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Ali Owfi, ChunChih Lin, Linke Guo +3
Indoor localization has gained significant attention in recent years due to its various applications in smart homes, industrial automation, and healthcare, especially since more pe…
A-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems
Andrea Coletta, Flavio Giorgi, Gaia Maselli +4
To perform advanced surveillance, Unmanned Aerial Vehicles (UAVs) require the execution of edge-assisted computer vision (CV) tasks. In multi-hop UAV networks, the successful trans…
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems
Corrado Puligheddu, Jonathan Ashdown, Carla Fabiana Chiasserini +1
5G and beyond cellular networks (NextG) will support the continuous execution of resource-expensive edge-assisted deep learning (DL) tasks. To this end, Radio Access Network (RAN)…
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning
Niloofar Bahadori, Jonathan Ashdown, Francesco Restuccia
Thanks to the ubiquitousness of Wi-Fi access points and devices, Wi-Fi sensing enables transformative applications in remote health care, security, and surveillance. Existing work…