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Physics Aligned Diffusion Models for Wireless Channels

Posted by By Jonathan Ott September 22, 2026Posted in5G & 6G, Master Thesis, Open
Modern wireless systems increasingly use radio signals not only for communication, but also for sensing, localization, and positioning. In these applications, the wireless channel contains rich information about the surrounding…
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Meta Reinforcement Learning for Optimization of Electric Circuit Parameters

Posted by By mugga May 2, 2022Posted inMaster Thesis, Open, Reinforcement Learning
The design and optimization of electric circuits is currently still an experience driven approach. Especially in the case of resonant systems, the strong non-linear system behavior requires a lot of…
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Multi-Agent Reinforcement Learning for the Coordination of Base Stations in 6G Networks

Posted by By mugga May 2, 2022Posted in5G & 6G, Master Thesis, Open, Reinforcement Learning
6G technology is promising to fundamentally change how consumers and businesses communicate, based on its envisioned speed and flexibility. This flexibility stems from the complex interplay between large-scale ecosystems of…
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