Johannes Busch

Dipl.-Ing. Johannes Busch

PhD Researcher

Johannes Busch received the Diploma degree (Dipl. Ing.) in electrical engineering from Technical University Dresden, Germany in 2019 where he is currently pursuing a Ph.D. degree at the Deutsche Telekom Chair of Communication Networks. His research focuses on Machine Learning — in particular (Multi-Agent) Deep Reinforcement Learning — and its application to complex real-world domains, such as robotics, traffic control, and communication networks.

Research Interests

  • Reinforcement Learning
  • Multi-Agent Cooperation
  • Generative Modelling
  • Machine Learning for Robotic Control
  • Intelligent Traffic Systems
  • Cooperative Communication Systems


Phone: +49 351 463 35337
Room: BAR I/31

Available Theses/Student Helper Positions

Here are some available Diploma/Master/Student/Bachelor theses that I am currently offering. If you are interested in one or several topics, please write me an email with your latest CV and transcript. You can also propose your own thesis topic related to machine learning for communication networks, mobile robotics or vehicular traffic.



  • Communication Networks 3


  • Fundamentals of Electrical Engineering 2


  • Fundamentals of Electrical Engineering 1
  • Communication Networks 3


Student/Bachelor Thesis

  • Deep Reinforcement Learning for Handovers in Mobile Networks (Xianran Liu)
  • Joint Optimization of Traffic Signaling and Vehicle Speed Advise in V2I-Enabled Traffic with Deep Reinforcement Learning (Nerea Fernandez Sanchez)

Diploma/Master Thesis

  • Investigation of smart routing and queue management for on the fly processing (Master Thesis – Mao Xinwei)
  • AI aided robot remote control (Diploma Thesis – Adrian Bretschneider Perez)


  • Prize for outstanding final theses in Information and Communication Technologies of the Saxonian Center of Telecommunication 2020.


  • IEEE Systems Journal



Vielhaus, Christian Leonard; Lhamo, Osel; Busch, Johannes V. S.; Rischke, Justus; Latzko, Vincent; Zimmermann, Sandra; Sossalla, Peter; Külzer, Daniel Fabian; Fitzek, Frank H. P.

Estimating Link Capacity With Uncertainty Bounds in Cellular Networks Proceedings Article

In: IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 117-122, IEEE, Istanbul, Turkiye, 2023.

Links | BibTeX

Busch, Johannes V. S.; Voelckner, Robert; Sossalla, Peter; Vielhaus, Christian Leonard; Calandra, Roberto; Fitzek, Frank H. P.

Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice Proceedings Article

In: IEEE, 2023.



Sossalla, Peter; Hofer, Johannes; Rischke, Justus; Busch, Johannes V. S.; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.

Optimizing Edge SLAM: Judicious Parameter Settings and Parallelized Map Updates Proceedings Article

In: 2022 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom 2022 IoTSN), Rio de Janeiro, Brazil, 2022.

Links | BibTeX

Vielhaus, Christian Leonard; Busch, Johannes V. S.; Geuer, Philipp; Palaios, Alexandros; Rischke, Justus; Külzer, Daniel Fabian; Latzko, Vincent; Fitzek, Frank H. P.

Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks Proceedings Article

In: The 20th ACM International Symposium on Mobility Management and Wireless Access (ACM MobiWac 2022), Montreal, Canada, 2022.

Links | BibTeX

Grohmann, Andreas I.; Busch, Johannes V. S.; Bretschneider, Adrian; Lehmann, Christopher; Fitzek, Frank H. P.

JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems Proceedings Article

In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), Las Vegas, USA, 2022.

Abstract | Links | BibTeX


Busch, Johannes V. S.; Latzko, Vincent; Reisslein, Martin; Fitzek, Frank H. P.

Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge Journal Article

In: IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp. 201-216, 2020.

Links | BibTeX