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PräKIpio – Prediction by AI for Planning, Interference analysis und Optimization

The PräKIpio project focuses on the planning and analysis of 5G Campus networks. New systems for the optimization of the complex 5G New Radio are to be created in order to guarantee the use cases enhanced Mobile Broadband (eMBB), massive Machine-Type Communication (mMTC) and Ultra-Reliable Low-Latency Communication (URLLC). The user should be able to plan and optimize his private network in his individual environment by means of virtual reality according to key performance indicators (KPI’s). Massive MIMO (mMIMO) should be used to achieve the desired performance standards such as data rate, latency and bandwidth. Artificial intelligence, especially machine learning, offers the possibility to develop powerful methods for complex systems. With PräKIpio, an efficient setup of private 5G networks by a production manager or machine operator is possible without deep knowledge of radio and IT systems.

Project partners:

  • Atesio GmbH
  • Fraunhofer HHI (Heinrich Hertz Institute)


The project PräKIpio is funded by the German Federal Ministry of Education and Research.