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eess.SP2025
Estimating Rural Path Loss with ITU-R P.1812-7 : Impact of Geospatial Inputs
Mathieu Chateauvert, Jonathan Ethier, Adrian Florea
Accurate radio wave propagation modeling is essential for effective spectrum management by regulators and network deployment by operators. This paper investigates the ITU-R P.1812-…
eess.SP2024
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…
eess.SP2024
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…