Data-Driven Energy Profiling for Resource-Efficient 5G Vertical Services

H Schippers, C Wietfeld - 2024 IEEE 21st Consumer …, 2024 - ieeexplore.ieee.org
Energy efficiency is a major concern in the development of future mobile networks. Besides
the infrastructure, a significant challenge is the power consumption of the user equipment …

Meta-PL: Path Loss Prediction of LTE Networks at Sparse Measurement Areas Using Meta-Learning

S Zeng, Y Ji, F Rong, L Yang, L Yan… - IEEE Antennas and …, 2025 - ieeexplore.ieee.org
The purpose of path loss modeling is to predict signal fading in various environments, which
is crucial for planning, deployment, and optimization of mobile networks. Existing path loss …

Aerial-DRaGon: Machine Learning-based Channel Modeling for Airspace Communication Networks

M Geis, T Gebauer, H Tuna… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The planning and reliable operation of air-space networks strongly relies on accurate radio
propagation modeling. In previous work, we demonstrated that the machine learning-driven …

IndoorDRaGon: Data-Driven 3D Radio Propagation Modeling for Highly Dynamic 6G Environments

M Geis, H Schippers, M Danger… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Private 5G and future 6G networks offer significant potential for automation in vertical
domains but must face the challenge of dynamic and rapid adaptation to new operational …

System for Continuous Multi-Dimensional Mobile Network KPI Tracking and Prediction in Drifting Environments

H Schippers, S Böcker… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The usage of public mobile radio networks is steadily increasing. At the same time, the
number of new and future smart city applications that rely on reliable and fast mobile data …

[PDF][PDF] REMIBRANDT: Imputing Radio Environmental Maps for Safety-Critical Applications with Machine Learning

N Altenburg, H Schippers, M Geis, C Wietfeld - 2024 - cni.etit.tu-dortmund.de
5G and future networks will enable new applications such as teleoperated driving, which
demand proactive and errorfree communication for mission-critical applications. Therefore, it …

[PDF][PDF] AI-driven Planning of Private Networks for Shared Operator Models

M Geis, C Bektas, S Böcker, C Wietfeld - 2024 - cni.etit.tu-dortmund.de
Private networks represent a key innovation in current 5G and future 6G networks, offering
significant benefits, particularly for vertical industries with mission-critical industrial …