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Fakultät für Elektrotechnik und Informationstechnik

International Best Paper Awards / Competitions / Presentations:

M. Geis, S. Häger, C. Wietfeld, "Taming mmWave Connectivity Prediction with DRaGon: AI Propagation Modeling for Cluttered Industrial Environments," in IEEE Future Networks World Forum (FNWF), Bangalore, India, November 2025

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  • Best Paper Awards
© ComNets 2025
Future 6G networks are expected to enable a wide range of industrial applications that demand ultra-high data rates. To meet these requirements, communication systems will increasingly rely on millimeter-wave (mmWave) frequencies, which offer large available bandwidths but exhibit complex and sensitive propagation behavior. Accurate network planning for such environments requires reliable Radio Environmental Maps (REMs), which in turn depend on precise channel modeling. Machine learning (ML) has shown promise in bridging the gap between computation time and prediction accuracy left by traditional modeling methods, but it has not yet been transferred to large-scale, complex Indoor Factory (InF) environments. In this paper, we present an ML-based propagation model for taming mmWave connectivity prediction in a densely cluttered real-world industrial scenario. The model utilizes features derived from privacy-preserving level-of-detail environmental representations, such as top and side-view image projections. We evaluate two ML model types– LGBM and ANN– on a dataset collected in a complex industrial environment. Both models accurately capture the underlying propagation characteristics and outperform traditional empirical models by 8.18dB in prediction RMSE and by being approximately 30-times faster than ray tracing. We demonstrate the potential of ML-based models to support fast and reliable connectivity map generation, making them suitable for efficient mmWave network planning for industrial scenarios.

Full paper reference:

  • M. Geis, S. Häger, C. Wietfeld, "Taming mmWave Connectivity Prediction with DRaGon: AI Propagation Modeling for Cluttered Industrial Environments," in IEEE Future Networks World Forum (FNWF), Bangalore, India, November 2025 (awarded with 2nd Best Paper Award) [pdf]

 

 

Awards by Informationstechnische Gesellschaft (ITG) in the VDE

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2016 - Advancement Award Dr.-Ing. Christoph Ide

Dr.-Ing. Christoph Ide, former head of the research groups of the CNI and Alumni of SFB 876, received one of the prestigious junior awards by the Informationstechnische Gesellschaft (ITG) in the VDE for his thesis "Resource-Efficient LTE Machine-Type Communication in Vehicular Environments" in November 2016. The nationally fiercely contested award was handed over at a solemn celebration at the Berlin-Brandenburgische Akademie der Wissenschaften in Berlin on November 29, 2016. The research results of the DFG Sonderforschungsbereich SFB 876 "Datenanalyse unter Ressourcenbeschränkungen" are an excellent contribution to the development of future mobile radio-based traffic systems, which will support growing automation of the reliable, simultaneous and efficient communication between the single system components. This research also makes a valuable contribution to future 5G networks, especially in terms of the Internet of Things.

2013 ITG Awards 2013 for Dr.-Ing. Niklas Goddemeier, Dr.-Ing. Kai Daniel and Prof. Dr.-Ing. Christian Wietfeld

For their research in the field of networked robotic systems, Dr.-Ing. Niklas Goddemeier, Dr.-Ing. Kai Daniel and Prof. Dr.-Ing. Christian Wietfeld received the coveted ITG Awards 2013 by the Informationstechnische Gesellschaft in the VDE at Berlin-Brandenburgische Akademie der Wissenschaften in Berlin on November 12, 2013.

The ITG Award is being advertised annually and awarded for outstanding publications, in this case for an article in the internationally well-known IEEE Journal on Selected Areas of Communications.

Role-Based Connectivity Management with Realistic Air-to-Ground Channels for Cooperative UAVs: Ad-hoc aerial sensor networks leveraging MUAVs (Micro Unmanned Aerial Vehicles) are ideally suited to cost-efficiently explore unknown or hostile environments for example in case of incidents producing harmful gases or radiation. In this manuscript we present results on the investigations of communication-aware steering algorithms for cooperative MUAV swarms. The mission objective is to achieve a maximum spatial exploration efficiency with the simultaneous ability to self-optimize the communication links by exploiting controlled mobility. While our previous work has mainly considered the performance of the Air-to-Air mesh network, in this paper we focus on the Air-to-Ground-link connectivity control. To achieve appropriate communication links to a central sensor data sink even while exploring larger search areas, an agent-based role management strategy is used to provide suitable multi-hop connectivity. The novel algorithms are investigated for static as well as dynamically changing environments. Key results include a detailed realistic aerial channel characterization and network dimensioning analysis considering numbers of MUAVs and density of ground stations vs. exploration speed and sensor data latency.

2014 VDE-Award for Master Graduate - M.Sc. David Öhmann

Once a year, the VDE Rhein-Ruhr e.V. awards junior engineers for excellent bachelor's and master's degrees. Also this year,  the organization honored excellent degrees and continued its active dedication to young engineers. The solemn ceremony took place at the trade fair "E-world" in Essen on February 12, 2014, for the first time. For TU Dortmund, David Öhmann, whose master thesis "Kooperatives Verbindungsmanagement von heterogenen Funkzugangssystemen im Automobilumfeld" was supervised by the CNI and collaborated with BMW in Munich, has been awarded.

 

Other Awards