Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks

This dataset belongs to the paper A. Krause, M. D. Khursheed, P. Schulz, F. Burmeister and G. Fettweis, “Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks,” in Proceedings of 2023 IEEE Globecom Workshops: 3rd Workshop on Sustainable and Resilient Industrial Networks (GC 2023 Workshop - SRINetworks 2023), Kuala Lumpur, Malaysia, Dec 2023. It can be found on arXiv. The corresponding code is published on GitHub. There, you can find additional information on the dataset as well.