19 citations · 35 across the 34 of their papers we have counts for
4 papers · 1 filter
REM-U-net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case
Hazem Sallouha, Shamik Sarkar, Enes Krijestorac +1
Radio environment maps (REMs) hold a central role in optimizing wireless network deployment, enhancing network performance, and ensuring effective spectrum management. Conventional…
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
Shamik Sarkar, Dongning Guo, Danijela Cabric
Spatial prediction of the radio propagation environment of a transmitter can assist and improve various aspects of wireless networks. The majority of research in this domain can be…
Unlicensed Spectrum Sharing for Massive Internet-of-Things Communications
Ghaith Hattab, Danijela Cabric
The unlicensed spectrum, although free, has become an invaluable resource toward enabling massive Internet-of-things (IoT) applications, where Internet-enabled devices are deployed…
Channel Access Method Classification For Cognitive Radio Applications
Mihir Laghate, Paulo Urriza, Danijela Cabric
Motivated by improved detection and prediction of temporal holes, we propose a two stage algorithm to classify the channel access method used by a primary network. The first stage…