A tool to apply AI in vehicular wireless networks

What is it about?

Artificial Intelligence (AI) techniques have emerged as a powerful approach to make wireless networks more efficient and adaptable. We propose a simulation framework able to implement AI algorithms for the optimization of vehicular wireless networks with a high level of realism.

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Photo by Brock Wegner on Unsplash

Photo by Brock Wegner on Unsplash

Why is it important?

Thanks to its flexible and modular design, researchers can use this tool to implement, train, and evaluate their own algorithms in a realistic and controlled environment. We test the behavior of our framework in a teleoperated driving scenario, where AI functionalities are implemented using Reinforcement Learning (RL), and demonstrate that it promotes better network optimization compared to baseline solutions that do not implement AI.

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