To the Communication Networks Institute
The Communication Networks Institute (CNI) focuses on the research and development as well as the quantitative analysis of cutting-edge communication services, network architecture and their protocols. CNI has been led by Prof. Dr.-Ing Christian Wietfeld since 2005. With our numerous collaborative research projects, we contribute to the evolution of future wireless communication systems, in particular 5G+ and 6G networks, which are suited to fullfill challenging requirements in application fields like rescue robotics, automotive, smart grids, and the internet of things.
The result of our research is documented in a wide range of publications, which have received a number of international awards. The impact of our research strongly builts on the integration of most recent machine learning techniques derived from our participation in the Collaborative Research Centre SFB 876 as well as on our excellent lab environment, which includes a mobile lab for experiments in the field, an outdoor testing site on the roof-top of a university building as well as access to unique test fields, such as the German Rescue Robotics Centre located nearby.
We offer lectures on communication networks, mobile radio networks and the modelling and dimensioning of communication systems as well as entrepreneurial methods in the field of Information & Communication Technology (ICT). The course catalog is supplemented with numerous practical labs. We kindly invite interested students to to built up in-depth expertise mobile communication networks by joining our team as student assistant and by working on their final theses with us.
Recent CNI work on energy-profiling of 5G devices presented in Las Vegas
Emperical power consumption modelling of 5G devices were presented at the IEEE Consumer Communications & Networking Conference (CCNC 2024).
Journal article on joint research in German Rescue Robotics Centre published
The article presents three selected missions of the German Rescue Robotics Centre, in which networked ground and aerial robots were used.
Work on CNI's SEAMLESS-protocol receives best paper award at IEEE conference
TU scientists presented recent work on IEEE Int. Symp. on Safety, Security, and Rescue Robotics and visited the Fukushima robot test field.
Dissertation on embedded machine-learning for wireless networks receives prestigious VDE award
Dr.-Ing. Benjamin Sliwa has been awarded for the research he performed within the DFG SFB 876 on machine-learning under resource constraints.
6G-enabled Breathing Monitoring for Smart Patient Rooms using THz and RIS Technology
A novel concept for patient monitoring in future 6G networks was presented at the IEEE International Workshop on Mobile Terahertz Systems (IWMTS).
Recent CNI results on Digital Twin-enabled 6G Beam Management to be presented at ACM-Symposium
By means of a digital twin, our experimental 6G research platform allows for the evaluation of beam steering algorithms of our HELIOS concept.
Prospective students visit 6G test field for wireless-enabled future vehicular and intralogistics applications
6GEM partners provide hands-on experience for prospective students and shows its latest 6G-related testbed for vehicular teleoperation.
Successful 6GEM Demonstration in the Test Field of Rescue Robotics
The 6GEM team of the rescue robotics test field, led by TU Dortmund-CNI, has successfully achieved all milestone project goals in the second year.