A Landing Spot Approach for Enhancing the Performance of UAV-Aided Wireless Networks. - Rajeev Gangula; David Gesbert; Daniel Fabian Kuelzer; Jose Miguel Franceschi (ICC Workshops, 2018)

Predictive Resource Allocation for Automotive Applications Using Interference Calculus. - Daniel Fabian Külzer; Slawomir Stanczak; Renato L. G. Cavalcante; Mladen Botsov (GLOBECOM, 2020)

Novel QoS Control Framework for Automotive Safety-Related and Infotainment Services. - Daniel Fabian Külzer; Slawomir Stanczak; Mladen Botsov (WCNC, 2020)

Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction. - Alexandros Palaios; Christian Vielhaus; Daniel Fabian Külzer; Philipp Geuer; Raja Sattiraju; Jochen Fink; Martin Kasparick 001; Cara Watermann; Gerhard P. Fettweis; Frank H. P. Fitzek; Hans D. Schotten; Slawomir Stanczak (5GWF, 2021)

On Latency Prediction with Deep Learning and Passive Probing at High Mobility. - Daniel Fabian Külzer; Firas Debbichi; Slawomir Stanczak; Mladen Botsov (ICC, 2021)

Interference-Aware Distributed Predictive Resource Allocation for Automotive Applications. - Daniel Fabian Külzer; Slawomir Stanczak; Mladen Botsov (ISWCS, 2021)

CDI Maps: Dynamic Estimation of the Radio Environment for Predictive Resource Allocation. - Daniel Fabian Külzer; Slawomir Stanczak; Mladen Botsov (PIMRC, 2021)

Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction. - Alexandros Palaios; Philipp Geuer; Jochen Fink; Daniel Fabian Külzer; Fabian Göttsch; Martin Kasparick 001; Daniel Schäufele; Rodrigo Hernangómez; Sanket Partani; Raja Sattiraju; Atul Kumar 005; Friedrich Burmeister; et al. (PIMRC, 2021)

AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. - Daniel Fabian Külzer; Martin Kasparick 001; Alexandros Palaios; Raja Sattiraju; Oscar Dario Ramos-Cantor; Dennis Wieruch; Hugues Tchouankem; Fabian Göttsch; Philipp Geuer; Jens Schwardmann; Gerhard P. Fettweis; Hans D. Schotten; et al. (VTC Spring, 2021)

Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks. - Christian L. Vielhaus; Johannes V. S. Busch; Philipp Geuer; Alexandros Palaios; Justus Rischke; Daniel Fabian Külzer; Vincent Latzko; Frank H. P. Fitzek (MobiWac, 2022)

Estimating Link Capacity with Uncertainty Bounds in Cellular Networks. - Christian L. Vielhaus; Osel Lhamo; Johannes V. S. Busch; Justus Rischke; Vincent Latzko; Sandra Zimmermann; Peter Sossalla; Daniel Fabian Külzer; Frank H. P. Fitzek (BlackSeaCom, 2023)

Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. - Rodrigo Hernangómez; Philipp Geuer; Alexandros Palaios; Daniel Schäufele; Cara Watermann; Khawla Taleb-Bouhemadi; Mohammad Parvini; Anton Krause; Sanket Partani; Christian Vielhaus; Martin Kasparick 001; Daniel Fabian Külzer; et al. (VTC2023-Spring, 2023)

Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches. - Alexandros Palaios; Christian L. Vielhaus; Daniel Fabian Külzer; Cara Watermann; Rodrigo Hernangómez; Sanket Partani; Philipp Geuer; Anton Krause; Raja Sattiraju; Martin Kasparick 001; Gerhard P. Fettweis; Frank H. P. Fitzek; et al. (IEEE Access, 2023)

The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction. - Alexandros Palaios; Christian L. Vielhaus; Daniel Fabian Külzer; Cara Watermann; Rodrigo Hernangómez; Sanket Partani; Philipp Geuer; Anton Krause; Raja Sattiraju; Martin Kasparick 001; Gerhard P. Fettweis; Frank H. P. Fitzek; et al. (CoRR, 2023)

Berlin V2X. - Rodrigo Hernangómez; Philipp Geuer; Alexandros Palaios; Daniel Schäufele; Cara Watermann; Khawla Taleb-Bouhemadi; Mohammad Parvini; Anton Krause; Sanket Partani; Christian Vielhaus; Martin Kasparick 001; Daniel Fabian Külzer; et al. (IEEE DataPort, 2023)