Predicting point-wise path loss through satellite images and height maps using deep learning.
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Updated
Sep 16, 2022 - Python
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 in Urban LoRa Networks
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.
A NetSim-Matlab-based project that simulates the performance analysis of a Multi-UAV - Base Station network for communications in the application of forest fire monitoring and detection.
Code for "Physics-Anchored Discovery of Trustworthy Pathloss Models": a discovery method whose output is physically valid and structurally deterministic, plus the evaluation tools and full experiment records.
Interactive 2.4 GHz RF coverage simulator with RSSI trilateration. Log-distance path loss, wall attenuation and a live heatmap streamed over WebSocket. Node.js + Canvas, tested, CI-verified.
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