| 2025 | INFOCOM | Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches. | Faruk Pasic, Lukas Eller, Stefan Schwarz, Markus Rupp, Christoph F. Mecklenbruker |
| 2024 | VTC | Comparison of Large-Scale Fading Models with RSRP Measurements. | Agnes Fastenbauer, Lukas Eller, Philipp Svoboda, Markus Rupp |
| 2023 | ACSSC | Machine Learning-Based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data. | David Lschenbrand, Markus Hofer, Lukas Eller, Markus Rupp, Thomas Zemen |
| 2022 | VTC | Countrywide Basestation Localization with Timing Advance Measurements from Crowdsourcing. | Lukas Eller, Vaclav Raida, Philipp Svoboda, Markus Rupp |
| 2022 | WiMob | Unveiling Cellular Antenna Orientations from Large Crowdsourced Datasets: A Deep Learning Approach. | Lukas Eller, Philipp Svoboda, Markus Rupp |
| 2021 | VTC | Propagation-aware Gaussian Process Regression for Signal-Strength Interpolation along Street Canyons. | Lukas Eller, Philipp Svoboda, Markus Rupp |
| 2021 | VTC | Bayesian Inference of Sector Orientation in LTE Networks based on End-User Measurements. | Lukas Eller, Philipp Svoboda, Markus Rupp |
| 2020 | VTC | Semi-Supervised Detection of Tariff Limits in LTE Network Benchmarks. | Lukas Eller, Philipp Svoboda, Markus Rupp |
| 2019 | VTC | Benchmarking Lightweight User Mobility Predictors on Operational WLAN Data. | Miriam Leopoldseder, Philipp Svoboda, Lukas Eller, Markus Rupp |