This CD laboratory aims to create a foundation for using artificial in- telligence (AI) based learning and training methods in wireless net- works in various scenarios, with the benefits of efficiency, sustain- ability, and reliability. For this purpose, we develop so-called “digital twins” (DT), representing enormously different environments such as trains, industrial sites, and dynamic environments, along with the corresponding wireless access and user populations.
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