tamsri/radio-gyms
Radio Gyms is an open-source bundle of AI environments for radio communications.
This project provides an open-source toolkit for simulating radio communications in various environments. It takes 3D scene files and transmitter/receiver positions as input, then outputs detailed radio propagation paths and predicted signal strengths based on theoretical models. Radio engineers, network planners, or researchers working on wireless communication systems would use this to understand and optimize radio signal behavior.
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Use this if you need to accurately simulate how radio signals travel and are received within a 3D environment, especially for tasks like optimizing antenna placement or designing wireless networks.
Not ideal if you're looking for a simple, pre-packaged tool for basic signal coverage estimation without needing detailed ray tracing or reinforcement learning capabilities.
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13
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 10, 2022
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