Collaborative Research Center 876
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
Project Composition of the SFB 876
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
News
Excellent wireless localization technology - CNI team wins IPIN competition
The CNI team (Janis Tiemann, Fabian Eckermann and Christian Wietfeld) won first prize in the "Indoor Mobile Robot Localization" category within the…
ComNets-Awards for Graduates of the Institute
The coveted awards by the "Verein der Freunde und Förderer der ComNets-Einrichtungen", who dedicated themselves to the research on future…
Collaborative Research Center with CNI-Participation Approved for 4 More Years
In the Collaborative Research Center 876 (SFB 876), the combination of data analysis (Data Mining/Big Data) with networked, embedded systems…
Successful Completion of Björn Dusza's Doctoral Studies in the Collaborative Research Center 876
Due to strongly increasing data traffic in mobile communications, the influence of the intensive use of mobile services on the battery life of…
Publications
Machine learning for resource-efficient data transfer in mobile crowdsensing
B. Sliwa, R. Falkenberg, C. Wietfeld
Chapter in Machine Learning for Future Wireless Communications (F. L. Luo, ed.), John Wiley & Sons Inc, February…
A Novel System Architecture for Small-Scale Motion Sensing Exploiting 5G mmWave Channels
S. Häger, S. Böcker, S. Jamali, T. Reinsch, C. Wietfeld
In 2021 IEEE Globecom Workshops (GC Workshops), Madrid, Spain, December 2021
Accurate Multi-Zone UWB TDOA Localization utilizing Cascaded Wireless Clock Synchronization
J. Friedrich, J. Tiemann, C. Wietfeld
In 11th International Conference IPIN, Lloret de Mar, Spain, December 2021. (Best Paper Award)
Modeling and simulation of reconfigurable intelligent surfaces for hybrid aerial and ground-based vehicular communications
K. Heimann, B. Sliwa, M. Patchou, C. Wietfeld
In Proceedings of the 24th International ACM Conference MSWiM 2021
On the Benefits of Demand-Based Planning and Configuration of Private 5G Networks
C. Bektas, C. Schüler, R. Falkenberg, P. Gorczak, S. Böcker, C. Wietfeld
In 2021 IEEE VNC, Virtual Event, November 2021.
Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning
C. Bektas, S. Böcker, B. Sliwa, C. Wietfeld
In 2021 IEEE 94th Vehicular Technology Conference (VTC-Fall), Virtual Event, September 2021
Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication
C. Arendt, M. Patchou, S. Böcker, J. Tiemann, C. Wietfeld
In 2021 IEEE 94th Vehicular Technology Conference (VTC-Fall), Virtual Event, September 2021
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications
B. Sliwa, H. Schippers, C. Wietfeld
In IEEE 4th 5G World Forum (5GWF), Virtual, October 2021
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing
C. Schüler, B. Sliwa, C. Wietfeld
In 2021 IEEE 94th VTC-Fall, Virtual Event, September 2021.