F5 Room

Communication and Sensing

F5 researches the physical-layer aspects of communication (electromagnetic, molecular, and entanglement-assisted) and the benefits of joint communication and sensing.

Key Questions

AI will be used to optimize dynamic communication channels, especially for MIMO and mm-wave systems.

Researching physical-layer security and semantic, goal-oriented communication methods for sustainable systems and JCS.

Molecular communication will be explored for industrial and therapeutic scenarios, such as targeted drug delivery in the bloodstream.

Approach

  • Research on AI-assisted physical communication for multimodality.
  • Testing molecular communication on macro and micro scales.
  • Study of quantum entanglement for secure, low-latency communication.

Expected Results

  • Design and integration of an entanglement-assisted synchronization solution for the TaHiL+ system architecture.
  • Evaluation and simulation of the entanglement-assisted synchronization architecture, including control and quantum protocols.
  • Testing a precisely synchronized (sub-nanosecond) TaHiL+ system using 5G-quantum communication demonstrators and testbeds.
  • Feasibility and evaluation studies for molecular communication in CeTI2 scenarios.

Our Latest Research Results

  • Revolutionary Neural Learning Unit Accelerates On-Device AI Training While Cutting Energy Consumption

    Whether it is a robotic arm in an automated factory, an autonomous vehicle navigating a warehouse, or haptic gloves in virtual reality—precise real-time orientation tracking is essential. A new study ...

  • When Biology Meets Engineering – Controlling Physical Systems with Living Neural Networks

    Could the future of computing be biological? As we look beyond traditional silicon chips for more adaptive and energy-efficient solutions, a fascinating question arises: Can we use Synthetic Biologic ...

  • Revolutionizing 5G for Mission-Critical Applications – A New Era of Reliability and Low Latency

    As 5G and future cellular networks evolve to support critical real-time applications like telesurgery, remote robotics, and autonomous driving, balancing extreme reliability with ultra-low latency be ...