fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
This project helps wireless system designers and network operators optimize how Unmanned Aerial Vehicles (UAVs) provide mobile edge computing services. It takes in information about user equipment tasks and UAV capabilities to output optimal user scheduling, task offloading ratios, and UAV flight parameters. The result is minimized processing delays for users relying on UAVs for computation.
686 stars.
Use this if you are designing or operating a UAV-assisted mobile edge computing system and need to dynamically optimize task offloading to minimize user processing delays.
Not ideal if your system does not involve UAVs or mobile edge computing, or if you need to optimize for factors other than minimizing maximum processing delay.
Stars
686
Forks
94
Language
Python
License
—
Category
Last pushed
Nov 19, 2025
Commits (30d)
0
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