Lukas Eller - RankMe

20 papers B 1Misc 1Journal 9Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction. CoRR Lorenzo Mario Amorosa, Zhan Gao, Tony Chahoud, Yiqun Wu, Lukas Eller, Marco Skocaj, Roberto Verdone
2026	J	`jnl`	The Vienna 4G/5G Drive-Test Dataset. CoRR Wilfried Wiedner, Lukas Eller, Mariam Mussbah, Dominik Rössler, Valerian Maresch, Philipp Svoboda, Markus Rupp
2025	J	`jnl`	Auf dem Weg zum KI-gestützten Mobilfunknetz: die Rolle von MDT-Daten zur Echtzeitoptimierung. Elektrotech. Informationstechnik Wilfried Wiedner, Lukas Eller, Mariam Mussbah, Philipp Svoboda
2025	—	`conf`	Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches. INFOCOM WKSHPS Faruk Pasic, Lukas Eller, Stefan Schwarz, Markus Rupp, Christoph F. Mecklenbräuker
2025	J	`jnl`	Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches. CoRR Faruk Pasic, Lukas Eller, Stefan Schwarz, Markus Rupp, Christoph F. Mecklenbräuker
2025	J	`jnl`	Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search. IEEE Trans. Cogn. Commun. Netw. Lukas Eller, Marco Skocaj, Philipp Svoboda, Markus Rupp, Roberto Verdone
2024	J	`jnl`	A Differentiable Throughput Model for Load-Aware Cellular Network Optimization Through Gradient Descent. IEEE Access Lukas Eller, Philipp Svoboda, Markus Rupp
2024	—	`conf`	Comparison of Large-Scale Fading Models with RSRP Measurements. VTC Spring Agnes Fastenbauer, Lukas Eller, Philipp Svoboda, Markus Rupp
2024	—	`conf`	Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning. BlackSeaCom Lukas Eller, Philipp Svoboda, Markus Rupp
2023	Misc	`conf`	Machine Learning-Based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data. ACSSC David Löschenbrand, Markus Hofer, Lukas Eller, Markus Rupp, Thomas Zemen
2023	J	`jnl`	Unbiased Benchmarking in Mobile Networks: The Role of Sampling and Stratification. IEEE Access Sonja Tripkovic, Lukas Eller, Philipp Svoboda, Markus Rupp
2022	J	`jnl`	A Deep Learning Network Planner: Propagation Modeling Using Real-World Measurements and a 3D City Model. IEEE Access Lukas Eller, Philipp Svoboda, Markus Rupp
2022	—	`conf`	Countrywide Basestation Localization with Timing Advance Measurements from Crowdsourcing. VTC Spring Lukas Eller, Vaclav Raida, Philipp Svoboda, Markus Rupp
2022	J	`jnl`	Localizing Basestations From End-User Timing Advance Measurements. IEEE Access Lukas Eller, Vaclav Raida, Philipp Svoboda, Markus Rupp
2022	B	`conf`	Unveiling Cellular Antenna Orientations from Large Crowdsourced Datasets: A Deep Learning Approach. WiMob Lukas Eller, Philipp Svoboda, Markus Rupp
2021	—	`conf`	Bayesian Inference of Sector Orientation in LTE Networks based on End-User Measurements. VTC Fall Lukas Eller, Philipp Svoboda, Markus Rupp
2021	—	`conf`	Propagation-aware Gaussian Process Regression for Signal-Strength Interpolation along Street Canyons. VTC Spring Lukas Eller, Philipp Svoboda, Markus Rupp
2020	—	`conf`	Semi-Supervised Detection of Tariff Limits in LTE Network Benchmarks. VTC Spring Lukas Eller, Philipp Svoboda, Markus Rupp
2019	—	`conf`	Benchmarking Lightweight User Mobility Predictors on Operational WLAN Data. VTC Fall Miriam Leopoldseder, Philipp Svoboda, Lukas Eller, Markus Rupp
2018	—	`conf`	Adaptive control for building energy management using reinforcement learning. ICIT Lukas Eller, Lydia C. Siafara, Thilo Sauter