Adaptive control for building energy management using reinforcement learning. - Lukas Eller; Lydia C. Siafara; Thilo Sauter (ICIT, 2018)

Benchmarking Lightweight User Mobility Predictors on Operational WLAN Data. - Miriam Leopoldseder; Philipp Svoboda; Lukas Eller; Markus Rupp (VTC Fall, 2019)

Semi-Supervised Detection of Tariff Limits in LTE Network Benchmarks. - Lukas Eller; Philipp Svoboda; Markus Rupp (VTC Spring, 2020)

Propagation-aware Gaussian Process Regression for Signal-Strength Interpolation along Street Canyons. - Lukas Eller; Philipp Svoboda; Markus Rupp (VTC Spring, 2021)

Bayesian Inference of Sector Orientation in LTE Networks based on End-User Measurements. - Lukas Eller; Philipp Svoboda; Markus Rupp (VTC Fall, 2021)

LTE Pathloss Measurements with Sector Orientations and eNodeB Positions. - Lukas Eller (IEEE DataPort, 2021)

Countrywide Basestation Localization with Timing Advance Measurements from Crowdsourcing. - Lukas Eller; Vaclav Raida; Philipp Svoboda; Markus Rupp (VTC Spring, 2022)

Unveiling Cellular Antenna Orientations from Large Crowdsourced Datasets: A Deep Learning Approach. - Lukas Eller; Philipp Svoboda; Markus Rupp (WiMob, 2022)

Localizing Basestations From End-User Timing Advance Measurements. - Lukas Eller; Vaclav Raida; Philipp Svoboda; Markus Rupp (IEEE Access, 2022)

A Deep Learning Network Planner: Propagation Modeling Using Real-World Measurements and a 3D City Model. - Lukas Eller; Philipp Svoboda; Markus Rupp (IEEE Access, 2022)

Machine Learning-Based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data. - David Löschenbrand; Markus Hofer; Lukas Eller; Markus Rupp; Thomas Zemen (ACSSC, 2023)

Unbiased Benchmarking in Mobile Networks: The Role of Sampling and Stratification. - Sonja Tripkovic; Lukas Eller; Philipp Svoboda; Markus Rupp (IEEE Access, 2023)

Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning. - Lukas Eller; Philipp Svoboda; Markus Rupp (BlackSeaCom, 2024)

Comparison of Large-Scale Fading Models with RSRP Measurements. - Agnes Fastenbauer; Lukas Eller; Philipp Svoboda; Markus Rupp (VTC Spring, 2024)

A Differentiable Throughput Model for Load-Aware Cellular Network Optimization Through Gradient Descent. - Lukas Eller; Philipp Svoboda; Markus Rupp (IEEE Access, 2024)

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. Mecklenbräuker (CoRR, 2025)

Auf dem Weg zum KI-gestützten Mobilfunknetz: die Rolle von MDT-Daten zur Echtzeitoptimierung. - Wilfried Wiedner; Lukas Eller; Mariam Mussbah; Philipp Svoboda (Elektrotech. Informationstechnik, 2025)