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Daniel Fabian Külzer
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2020 – today
- 2023
- [j1]Alexandros Palaios
, Christian L. Vielhaus
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches. IEEE Access 11: 92459-92477 (2023) - [c12]Christian L. Vielhaus, Osel Lhamo, Johannes V. S. Busch, Justus Rischke, Vincent Latzko, Sandra Zimmermann, Peter Sossalla, Daniel Fabian Külzer, Frank H. P. Fitzek
Estimating Link Capacity with Uncertainty Bounds in Cellular Networks. BlackSeaCom 2023: 117-122 - [c11]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. VTC2023-Spring 2023: 1-5 - [d1]Rodrigo Hernangómez
Berlin V2X. IEEE DataPort, 2023 - [i2]Alexandros Palaios, Christian L. Vielhaus, Daniel Fabian Külzer, Cara Watermann, Rodrigo Hernangómez, Sanket Partani, Philipp Geuer, Anton Krause, Raja Sattiraju, Martin Kasparick, Gerhard P. Fettweis, Frank H. P. Fitzek, Hans D. Schotten, Slawomir Stanczak:
The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction. CoRR abs/2302.11966 (2023) - 2022
- [c10]Christian L. Vielhaus, Johannes V. S. Busch
Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks. MobiWac 2022: 19-27 - [i1]Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. CoRR abs/2212.10343 (2022) - 2021
- [c9]Alexandros Palaios, Christian Vielhaus, Daniel Fabian Külzer, Philipp Geuer, Raja Sattiraju, Jochen Fink, Martin Kasparick, Cara Watermann, Gerhard P. Fettweis, Frank H. P. Fitzek
Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction. 5GWF 2021: 418-423 - [c8]Daniel Fabian Külzer, Firas Debbichi, Slawomir Stanczak, Mladen Botsov:
On Latency Prediction with Deep Learning and Passive Probing at High Mobility. ICC 2021: 1-7 - [c7]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
Interference-Aware Distributed Predictive Resource Allocation for Automotive Applications. ISWCS 2021: 1-6 - [c6]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
CDI Maps: Dynamic Estimation of the Radio Environment for Predictive Resource Allocation. PIMRC 2021: 892-898 - [c5]Alexandros Palaios, Philipp Geuer, Jochen Fink, Daniel Fabian Külzer, Fabian Göttsch
Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction. PIMRC 2021: 1432-1438 - [c4]Daniel Fabian Külzer, Martin Kasparick, Alexandros Palaios, Raja Sattiraju, Oscar Dario Ramos-Cantor, Dennis Wieruch, Hugues Tchouankem, Fabian Göttsch
AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios. VTC Spring 2021: 1-7 - 2020
- [c3]Daniel Fabian Külzer, Slawomir Stanczak, Renato L. G. Cavalcante, Mladen Botsov:
Predictive Resource Allocation for Automotive Applications Using Interference Calculus. GLOBECOM 2020: 1-7 - [c2]Daniel Fabian Külzer, Slawomir Stanczak, Mladen Botsov:
Novel QoS Control Framework for Automotive Safety-Related and Infotainment Services. WCNC 2020: 1-7
2010 – 2019
- 2018
- [c1]Rajeev Gangula, David Gesbert
A Landing Spot Approach for Enhancing the Performance of UAV-Aided Wireless Networks. ICC Workshops 2018: 1-6
Coauthor Index
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