UNIC-Lab/RadioDiff-k
This is the code for paper "RadioDiff- $k^2$ : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction", accepted by IEEE JSAC.
This project helps telecommunications engineers and network planners create detailed radio coverage maps for 5G and 6G networks. It takes sparse signal measurements, building layouts, transmitter locations, and even vehicle data as input. The output is a high-quality, comprehensive radio map, which is crucial for optimizing network performance and predicting signal propagation in complex urban or dynamic environments.
Use this if you need to accurately reconstruct radio coverage maps for 5G/6G network planning, especially in environments with complex building structures or moving vehicles, using limited initial measurements.
Not ideal if you are solely focused on basic line-of-sight propagation modeling or if you require real-time, ultra-low-latency map generation without the need for detailed physical information.
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Last pushed
Dec 06, 2025
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