| Performance analysis of various waveforms and coding schemes in V2X communication scenarios W Anwar, A Krause, A Kumar, N Franchi, GP Fettweis 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-8, 2020 | 31 | 2020 |
| Berlin V2X: A machine learning dataset from multiple vehicles and radio access technologies R Hernangómez, P Geuer, A Palaios, D Schäufele, C Watermann, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | 8 | 2023 |
| Network Planning and Coverage Optimization for Mobile Campus Networks A Krause, W Anwar, AB Martinez, D Stachorra, G Fettweis, N Franchi 2021 IEEE 4th 5G World Forum (5GWF), 305-310, 2021 | 5 | 2021 |
| Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches A Palaios, CL Vielhaus, DF Külzer, C Watermann, R Hernangomez, ... IEEE Access, 2023 | 3 | 2023 |
| Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets R Hernangómez, A Palaios, C Watermann, D Schäufele, P Geuer, ... IEEE Communications Magazine 62 (4), 90-95, 2024 | 2 | 2024 |
| Improving Radio Environment Maps with Joint Communications and Sensing: An Outlook A Krause, P Schulz, F Burmeister, G Fettweis 2023 IEEE 3rd International Symposium on Joint Communications & Sensing (JC …, 2023 | 2 | 2023 |
| The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction A Palaios, CL Vielhaus, DF Külzer, C Watermann, R Hernangomez, ... arXiv e-prints, arXiv: 2302.11966, 2023 | 2 | 2023 |
| Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks A Krause, MD Khursheed, P Schulz, F Burmeister, G Fettweis arXiv preprint arXiv:2308.06980, 2023 | | 2023 |
| Deep Learning-Supported Kriging for Interpolation of High-Resolution Indoor REMs F Burmeister, A Palaios, P Geuer, A Krause, R Jacob, P Schulz, ... 2023 Joint European Conference on Networks and Communications & 6G Summit …, 2023 | | 2023 |
| An Improved Data Collection Framework for Enabling ML-based QoS Prediction for Vehicular Communication A Krause, A Palaios, A Kumar, P Schulz, G Fettweis WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th …, 2023 | | 2023 |
Gerhard P. FettweisVodafone Chair Professor, TU DresdenVerified email at tu-dresden.de
