Thesis Learning to Access the Wi-Fi Medium with Reinforcement Learning

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Thesis Learning to Access the Wi-Fi Medium with Reinforcement Learning

Bosch-Gruppe

Hildesheim

Aktualität: 07.07.2025

Anzeigeninhalt:

07.07.2025, Bosch-Gruppe

Hildesheim

Thesis Learning to Access the Wi-Fi Medium with Reinforcement Learning

Aufgaben:

During your thesis, you will have a real impact on a future product developed by Bosch. You will improve the Wi-Fi Medium Access Control (MAC) sublayer's channel access using reinforcement learning (RL) in a novel way. Last but not least, you will extend the ns-3 network simulator to test and evaluate your ideas.

Qualifikationen:

Education: studies in the field of Computer Science, Communications Engineering, Electrical Engineering or comparable Experience and Knowledge: with Machine Learning, preferably in multi-agent or single-agent reinforcement learning; familiarity with ML frameworks, preferably PyTorch; experience with simulations, ideally using network simulators like ns-3; knowledge of wireless communication systems, preferably Wi-Fi Personality and Working Practice: you are an open-minded individual with an independent working style Languages: good in German or English

Berufsfeld

Forschung & Entwicklung

Standorte

Hildesheim

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Thesis Learning to Access the Wi-Fi Medium with Reinforcement Learning