9 citations · 13 across the 3 of their papers we have counts for
3 papers
eess.SP2024★ 9 cited
Extending Machine Learning Based RF Coverage Predictions to 3D
Muyao Chen, Mathieu Châteauvert, Jonathan Ethier
This paper discusses recent advancements made in the fast prediction of signal power in mmWave communications environments. Using machine learning (ML) it is possible to train mode…
cs.LG2024
Clutter Classification Using Deep Learning in Multiple Stages
Ryan Dempsey, Jonathan Ethier
Path loss prediction for wireless communications is highly dependent on the local environment. Propagation models including clutter information have been shown to significantly inc…
eess.SP2024★ 4 cited
Signal Attenuation through Foliage Estimator (SAFE)
Mathieu Châteauvert, Jonathan Ethier, Pierre Bouchard
The SAFE tool is an open-source Radio Frequency (RF) propagation model designed for path loss predictions in foliage-dominant environments. It utilizes the ITU-R P.1812-6 model as…