Wireless Cellular Simulator for Radio Resource Management
Library routines for the different pathloss model from 3GPP & ITU for IMT2020 evaluation & 5G simulation works
Predicting point-wise path loss through satellite images and height maps using deep learning.
PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario, Pattern Recognition, 2026, Pathloss, wireless, 5G
Path loss is a major component in the analysis and design of the link budget of a telecommunication system. Path loss may be due to many effects, such as free-space loss, refraction, diffraction, reflection, aperture-medium coupling loss, and absorption.
Este projeto utiliza aprendizado de máquina para prever a potência do sinal recebido por um usuário em um ambiente indoor conectado a um ponto de acesso Wi-Fi. Foram testados modelos como Random Forest, Lasso e Decision Tree, destacando o uso de Python, Scikit-learn e Power BI para melhorar o planejamento de redes wireless.
This website contains pathloss prediction model in High frequency communication
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