| Adaptive control for building energy management using reinforcement learning L Eller, LC Siafara, T Sauter 2018 IEEE International Conference on Industrial Technology (ICIT), 1562-1567, 2018 | 20 | 2018 |
| A deep learning network planner: Propagation modeling using real-world measurements and a 3D city model L Eller, P Svoboda, M Rupp IEEE Access 10, 122182-122196, 2022 | 14 | 2022 |
| Localizing basestations from end-user timing advance measurements L Eller, V Raida, P Svoboda, M Rupp IEEE Access 10, 5533-5544, 2022 | 13 | 2022 |
| Propagation-aware Gaussian process regression for signal-strength interpolation along street canyons L Eller, P Svoboda, M Rupp 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-7, 2021 | 6 | 2021 |
| Unbiased benchmarking in mobile networks: The role of sampling and stratification S Tripkovic, L Eller, P Svoboda, M Rupp IEEE Access 11, 53772-53787, 2023 | 4 | 2023 |
| Bayesian inference of sector orientation in LTE networks based on end-user measurements L Eller, P Svoboda, M Rupp 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-6, 2021 | 3 | 2021 |
| Benchmarking lightweight user mobility predictors on operational wlan data M Leopoldseder, P Svoboda, L Eller, M Rupp 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 2 | 2019 |
| A Differentiable Throughput Model for Load-Aware Cellular Network Optimization Through Gradient Descent L Eller, P Svoboda, M Rupp IEEE Access, 2024 | 1 | 2024 |
| Semi-Supervised Detection of Tariff Limits in LTE Network Benchmarks L Eller, P Svoboda, M Rupp 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-7, 2020 | 1 | 2020 |
| Safe Online Mobile Network Optimization through Digital Twin-Enhanced Monte Carlo Tree Search L Eller, M Skocaj, P Svoboda, M Rupp, R Verdone Authorea Preprints, 2024 | | 2024 |
| Comparison of Large-Scale Fading Models with RSRP Measurements A Fastenbauer, L Eller, P Svoboda, M Rupp 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 1-6, 2024 | | 2024 |
| Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning L Eller, P Svoboda, M Rupp 2024 IEEE International Black Sea Conference on Communications and …, 2024 | | 2024 |
| Machine learning-based channel prediction for widely distributed massive MIMO with real-world data D Löschenbrand, M Hofer, L Eller, M Rupp, T Zemen 2023 57th Asilomar Conference on Signals, Systems, and Computers, 982-987, 2023 | | 2023 |
| Unveiling Cellular Antenna Orientations from Large Crowdsourced Datasets: A Deep Learning Approach L Eller, P Svoboda, M Rupp 2022 18th International Conference on Wireless and Mobile Computing …, 2022 | | 2022 |
| Countrywide Basestation Localization with Timing Advance Measurements from Crowdsourcing L Eller, V Raida, P Svoboda, M Rupp 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-6, 2022 | | 2022 |
| Learning Representations from Crowdsourced Network Benchmarks L Eller Institute of Telecommunications, TU Wien, 2020 | | 2020 |
Markus RuppProfessor, Vienna University of TechnologyBestätigte E-Mail-Adresse bei nt.tuwien.ac.at
