The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.
Project duration: 01.01.2015 - 31.12.2022
The collaborative research center is divided into multiple projects. An extensive overview of all projects and their main objective can be found on the homepage of the SFB 876.
The Communication Networks Institute attends projects A4 and B4
Data-Driven Model-Predictive Communication for Resource-Efficient IoT Networks
C. Arendt, S. Böcker, C. Wietfeld
In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), April 2020
LIMITS: Lightweight machine learning for IoT systems with resource limitations
B. Sliwa, N. Piatkowski, C. Wietfeld
In 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, June 2020. (Best Paper Award)
A reinforcement learning approach for efficient opportunistic vehicle-to-cloud data transfer
B. Sliwa, C. Wietfeld
In 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, May 2020
Cross-Bearing based Positioning as a Feature of 5G Millimeter Wave Beam Alignment
K. Heimann, J. Tiemann, S. Böcker, C. Wietfeld
In IEEE 91st Vehicular Technology Conference (VTC-Spring), Antwerp, Belgium, May 2020
Reliable Long-Range Multi-Link Communication for Unmanned Search and Rescue Aircraft Systems in Beyond Visual Line of Sight Operation
J. Güldenring, P. Gorczak, F. Eckermann, M. Patchou, J. Tiemann, F. Kurtz, C. Wietfeld
In Drones, MDPI, vol. 4, no. 2, May 2020
6G White Paper on Machine Learning in Wireless Communication Networks
S. Ali, et al.
In 6G Research Visions, University of Oulu, April 2020
The channel as a traffic sensor: Vehicle detection and classification based on radio fingerprinting
B. Sliwa, N. Piatkowski, C. Wietfeld
In IEEE Internet of Things Journal, March 2020
Towards cooperative data rate prediction for future mobile and vehicular 6G networks
B. Sliwa, R. Falkenberg, C. Wietfeld
In 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, March 2020
FALCON: An accurate real-time monitor for client-based mobile network data analytics
R. Falkenberg, C. Wietfeld
In 2019 IEEE Global Communications Conference (GLOBECOM), IEEE, Waikoloa, Hawaii, USA, pp. 1–7, December 2019.
Search & People Search
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”.