Resilience, e.g., against intentional and unintentional interferers, is a crucial factor for ensuring the uninterrupted operation and optimal performance of industrial wireless networks. Therefore, my research focuses on spectrum monitoring and anomaly detection for non-public networks (also referred to as campus networks) to attain such resilience. My work bases mostly on physical layer simulations, but includes measurements as well.

You can find the code for some papers on GitHub:

• Spectrum Anomaly Detection in OFDMA Systems: Simulation Framework and Benchmark Dataset - Link.
• Pinpointing Radio Devices: Robust Fingerprint Localization in Industrial Environments - Link.
• Advancing Spectrum Anomaly Detection through Digital Twins - Link.
• Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks - Link.

Publications authored by Anton Schösser:

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