AiltonOliveir/RL-env-for-communications
Reinforcement learning environment for MIMO communications.
This project helps wireless communication engineers design and optimize Multiple-Input Multiple-Output (MIMO) systems more efficiently. You provide specifications for a MIMO communication scenario, and it simulates how different reinforcement learning agents perform, helping you evaluate and fine-tune signal processing strategies. It's designed for researchers and engineers working on advanced wireless communication technologies.
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Use this if you are an engineer or researcher looking to apply and test reinforcement learning algorithms to optimize MIMO communication systems in various channel conditions.
Not ideal if you need a plug-and-play solution for an existing communication system without delving into reinforcement learning algorithm design and simulation.
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15
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3
Language
Python
License
MIT
Category
Last pushed
Jul 02, 2021
Commits (30d)
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