Open invited session in the area of Control for Next Generation Wireless Networks

21st IFAC World Congress in Berlin, Germany, July 12-17, 2020

DFG SPP 1914 members Dominik Baumann and Sebastian Trimpe are (together with Konstantinos Gatsis from the University of Pennsylvania and Karl Henrik Johansson from KTH) organizing an open invited session in the area of Control for Next Generation Wireless Networks at the IFAC World Congress in Berlin, Germany.

Call for Contributions

Next generation wireless networks aim to support critical physical infrastructure, including industrial automation, connected autonomous vehicles, smart grids, and smart cities. As these networking interfaces interact with the physical world, new fundamental research questions arise. In this open invited session, we are soliciting contributions showcasing how the control and autonomous systems community addresses these challenges from various points of view. Topics include, but are not limited to:

  • Resource allocation for next generation wireless sensing and control applications
  • Designs for low-latency, high-reliability, and freshness of information, including networking and information theoretic approaches
  • Data-driven tools to support wireless autonomous applications, including reinforcement learning and statistical learning
  • Methods for online adaptation to changes in the network or application dynamics
  • Formal control performance guarantees under network imperfections
  • Next generation wireless control application domains, such as connected vehicles, robotics, industrial automation

Please find a more detailed description on the session website.

Please note that there is no upper limit to the number of papers in these open invited sessions. The submitted papers will be reviewed via the IFAC reviewing process.

Details

Organizers

  • Dominik Baumann, Max Planck Institute for Intelligent Systems
  • Konstantinos Gatsis, University of Pennsylvania
  • Karl Henrik Johansson, KTH Royal Institute of Technology
  • Sebastian Trimpe, Max Planck Institute for Intelligent Systems