Network-Independent Clock Offset Estimation Using Correlated Sensor Data. - Adham Taha; Mathias Thorsager; Sune Krphiyer; Tatiana K. Madsen; Hans-Peter Schwefel (WPMC, 2022)

Q-learning for distributed routing in LEO satellite constellations. - Beatriz Soret; Israel Leyva-Mayorga; Federico Lozano-Cuadra; Mathias D. Thorsager (CoRR, 2023)

Energy-efficient Wireless Image Retrieval for IoT Devices by Transmitting a TinyML Model. - Junya Shiraishi; Mathias Thorsager; Shashi Raj Pandey; Petar Popovski (CoRR, 2023)

EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models. - Mathias Thorsager; Victor Croisfelt; Junya Shiraishi; Petar Popovski (GLOBECOM, 2024)

An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks. - Federico Lozano-Cuadra; Mathias D. Thorsager; Israel Leyva-Mayorga; Beatriz Soret (CoRR, 2024)

Generative Network Layer for Communication Systems With Artificial Intelligence. - Mathias Thorsager; Israel Leyva-Mayorga; Beatriz Soret; Petar Popovski (IEEE Netw. Lett., 2024)

TinyAirNet: TinyML Model Transmission for Energy-Efficient Image Retrieval From IoT Devices. - Junya Shiraishi; Mathias Thorsager; Shashi Raj Pandey; Petar Popovski (IEEE Commun. Lett., 2024)

Automated Room-Level Localisation Using Building Plan Information. - Mathias Thorsager; Sune Kroeyer; Adham Taha; Magnus Melgaard; Linette Anil; Jimmy J. Nielsen; Tatiana K. Madsen (Sensors, 2024)