Project Details
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Ultra-Reliability for Modern Context-Aware Wireless Systems

Subject Area Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology
Term from 2022 to 2024
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 509324296
 
Final Report Year 2025

Final Report Abstract

The work in this project has expanded the understanding of various aspects of ultra-reliability for modern wireless communication systems. This includes context-aware systems, for which new techniques have been developed to analyze and optimize them. A particular example is work on cell-free unmanned aerial vehicle (UAV) communication systems, where each aerial user has a different reliability constraint based on its location, e.g., UAVs near an airport or other critical infrastructure would have a stricter constraint. For these systems, we have developed novel access point clustering and power allocation schemes to optimize energy efficiency while maintaining high and varying user reliability requirements. Other results of this project contribute to a novel perspective of physical layer secret-key generation and its practical trade-off between generating new key bits and using them to securely transmit messages. For this new model, we have combined strategies from communications with ideas from mathematical finance to derive reliability and latency expressions. In addition, we have taken first steps to consider resilience at the physical layer of such systems. In particular, we have developed novel resilience metrics and analyzed the trade-off between energy efficiency and resilience for systems with secret-key generation. This includes the comparison of power allocation schemes that take into account the current context and state of the system. In addition to novel ideas and results on the efficiency, reliability, and resilience of the described contextaware communication systems, this project contributed to a broader understanding of ultra-reliable and energy-efficient wireless communications. In particular, this includes new optimization techniques for reconfigurable intelligent surface (RIS)-assisted communications, frequency assignment for two-ray channels, and fading channels with dependency structures.

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