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Fakultät für Elektrotechnik und Informationstechnik
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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

SFB Logo © CNI​/​Consortium

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

Publications

02/19/2022

Experimental Evaluation of IEEE 802.15.4z UWB Ranging Performance under Interference

J. Tiemann, J. Friedrich, C. Wietfeld In Sensors, vol. 22, no. 4, 2022.
12/17/2021

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…
12/11/2021

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
12/02/2021

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)
11/22/2021

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
11/12/2021

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.
10/28/2021

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
10/28/2021

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
10/15/2021

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
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