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Cross-layer Resilience for Criticality-aware Wireless Networks

Subject Area Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
Term since 2025
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 565652476
 
Emerging wireless applications in healthcare, transportation, and industrial automation require strict reliability and low-latency guarantees, which are challenging to provide as wireless networks face channel variability, blockages, and sudden traffic surges. This challenge is aggravated with the emergence of mixed-critical traffic combining critical, time-sensitive traffic, such as sensor and control flows, with non-critical application traffic. State-of-the-art approaches address only isolated aspects of resilience, lacking a solution to ensure consistent performance for mixed-critical applications. This project bridges this gap by designing a cross-layer resilience framework for criticality-aware wireless communication systems. In clear contrast to established research on steady-state behavior we aim to design resilient mechanisms with transient guarantees. Our approach integrates physical layer robustness and adaptation mechanisms with flow-level queueing and scheduling mechanisms. A key focus is on criticality-aware schemes, prioritizing flows based on their time- or age-criticality, and leveraging event-triggered mechanisms based on real-time performance indicators such as Age of Information (AoI) and Value of Information (VoI). Our goal is to establish fundamental principles and novel concepts for designing resilient and future-proof wireless systems capable of supporting highly demanding mixed-critical applications.
DFG Programme Priority Programmes
 
 

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