To content

CNI congratulates Melina Geis, Tim Gebauer, and Cedrik Schüler for receiving prestigious awards for their master’s theses

-
in
  • News
  • News
  • SFB 876
Image of the awards winners © CNI

We are very happy to announce that three of our previous students, who have all become researchers at the Communication Networks Institute, have received prestigious awards for their respective master’s theses.

Melina Geis has received the ABB Förderpreis 2021 during the graduates farewell of the TU Dortmund university at november 28th. Within her thesis "Deep Learning-Based Radio Propagation Modeling and Prediction Using Geographical Data", she has investigated the usage of deep learning methods for extracting latent radio channel information from geographical images. For this purpose, the proposed novel method “Deep RAdio channel modeling from GeOinformatioN” (DRaGon) utilizes a three-dimensional environmental model that is constructed from various data sources. By bringing together machine learning analysis with expert knowledge from the communications domain, a path loss correction offset is learned. In comparison to well-established methods such as ray tracing, the proposed approach allows to achieve a significantly better prediction accuracy.

The results of the thesis have already been accepted for publication at the prestigious IEEE Wireless Communications and Networking Conference (WCNC) 2022. A preprint of the manuscript is available on arXiv.

Tim Gebauer has received the Best of the Year Award 2021 of the Society of Friends of the Technical University of Dortmund e.V.. In his thesis "Modeling and Dimensioning of Future Narrowband Internet of Things Mobile Communication Networks”, the novel mobile radio technology NB-loT (Narrowband - Internet of Things) has been evaluated, which is used to connect the constantly growing number of loT sensors over long distances with high scalability and energy efficiency. Within the scope of this work, a multi-scale simulation model was created for a comprehensive performance analysis of the numerous implementations of NB-loT. Based on this, realistic scenarios were investigated, especially with an increasing number of sensors, and recommendations for an appropriate dimensioning of mobile networks were derived. Furthermore, it was possible to evaluate future scenarios with extreme requirements and thus to explore scalability limits.

A paper submission based on this work is current in preparation.

Cedrik Schüler has received the Absolventenpreis 2021 of the VDE Rhein-Ruhr at December 16th. In his thesis “Design and Performance Evaluation of a Reinforcement Learning-Based Mobile Ad-Hoc Network Routing Protocol”, he has proposed “Predictive Ad-hoc Routing fueled by Reinforcement learning and Trajectory knowledge” (PARRoT) as a novel mobility-prediction routing method for highly mobile communication scenarios such as aerial and ground-based vehicular networking. For the determination of robust end-to-end communication paths, PARRoT takes the predicted future mobility of the mesh nodes into account and implements a reinforcement learning-enabled routing strategy. As shown in a comprehensive performance evaluation, PARRoT significantly outperforms well-established routing methods such as Ad-hoc On-demand Distance Vector (AODV), Optimized Link State Routing (OLSR), and Better Approach To Mobile Ad-hoc Networking (B.A.T.M.A.N.)

The results of the thesis have already been presented at the prestigious IEEE Vehicular Technology Conference (VTC2021-Spring), where it has also been awarded with a Best Student Paper Award. The final manuscript is digitally available via IEEExplore.

Location & approach

The campus of TU Dort­mund University is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dort­mund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dort­mund-Dorstfeld” (closer to North Campus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund University has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 20 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn is one of the hallmarks of TU Dort­mund University. There are two stations on North Campus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).