3 papers
eess.SP2026
Hardware-in-the-Loop Phase-Aware CNN for Real-Time 5G Channel Estimation
Javad Zolfaghari-Bengar, Rakibul Rony, Elisa Gomez-de-Lope +3
This demo presents real-time AI-based uplink channel-estimation inference using data collected from a hardware-in-the-loop 5G platform. The data-collection setup integrates commerc…
eess.SP2026
Phase-Aware CNN for Real-Time 5G/6G Channel Estimation with Hardware-in-the-loop Validation
Javad Zolfaghari-Bengar, Rakibul Rony, Elisa Gomez-de-Lope +3
In 5G/6G wireless systems, accurate and timely channel estimation is critical to ensure reliable communication under complex, fast-changing radio conditions. This work focuses on p…
cs.NI2017
Joint Access-Backhaul Perspective on Mobility Management in 5G Networks
Rakibul Islam Rony, Akshay Jain, Elena Lopez-Aguilera +2
The ongoing efforts in the research development and standardization of 5G, by both industry and academia, have resulted in the identification of enablers (Software Defined Networks…