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
How Green Networking May Harm Your IoT Network: Impact of Transmit Power Reduction at Night on NB-IoT Performance
P. Jörke, C. Wietfeld
In 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), New Orleans, USA, June 2021
Robust machine learning-enabled routing for highly mobile vehicular networks with PARRoT in ns-3
C. Schüler, M. Patchou, B. Sliwa, C. Wietfeld
In Proceedings of the 2021 Workshop on Ns-3, Virtual, June 2021.
SAMUS: Slice-Aware Machine Learning-based Ultra-Reliable Scheduling
C. Bektas, D. Overbeck, C. Wietfeld
In 2021 IEEE International Conference on Communications (ICC), Virtual Event, June 2021
Machine type communications: key drivers and enablers towards the 6G era
N. H. Mahmood, et al.
In EURASIP Journal on Wireless Communications and Networking, vol. 2021, no. 1, pp. 134, June 2021
SDR-based open-source C-V2X traffic generator for stress testing vehicular communication
F. Eckermann, C. Wietfeld
In 2021 IEEE 93rd Vehicular Technology Conference (VTC-Spring), Helsinki, Finland, April 2021
A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification
M. Haferkamp, B. Sliwa, C. Wietfeld
In 2021 Annual IEEE International Systems Conference (SysCon), Vancouver, Canada, April 2021
Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic
M. Patchou, B. Sliwa, C. Wietfeld
In 2021 IEEE 15th International Systems Conference, Vancouver, Canada, April 2021
Adapting a cellular automata model to describe heterogeneous traffic with human-driven, automated, and communicating automated vehicles
T. Vranken, B. Sliwa, C. Wietfeld, M. Schreckenberg
In Physica A: Statistical Mechanics and its Applications, February 2021
PARRoT: Predictive ad-hoc routing fueled by reinforcement learning and trajectory knowledge
B. Sliwa, C. Schüler, M. Patchou, C. Wietfeld
In 2021 IEEE 93rd VTC-Spring, Helsinki, Finland, April 2021. (Best Student Paper Award).