DevMilk/UAV-Based-Cellular-Communication-Multi-Agent-DRL-Solution
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
This solution helps optimize cellular communication by strategically positioning Unmanned Aerial Vehicles (UAVs) to act as mobile base stations. It takes in real-time information about mobile device locations and current network interference, then outputs optimal flight paths for a fleet of UAVs. Network engineers and telecommunications operators can use this to improve service quality and coverage.
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Use this if you manage a cellular network and need to dynamically mitigate interference and enhance coverage using a fleet of drones as temporary or supplementary base stations.
Not ideal if your network infrastructure is entirely ground-based or you are not planning to deploy UAVs for communication purposes.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 27, 2023
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