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
Design of an UWB Indoor-Positioning System for UAV Navigation in GNSS-Denied Environments
J. Tiemann, F. Schweikowski, C. Wietfeld,
In 2015 International Conference on Indoor Positioning and Indoor Navigation, Banff, Canada, October 2015.
Cloud-aided SDR solution for lane-specific vehicle positioning via Local Interference Compensation
B. Niehöfer, et al.,
In Aerospace Conference, 2014 IEEE, Big Sky, MT, pp. 1–7, March 2014.
Smart Constellation Selection for Precise Vehicle Positioning in Urban Canyons using a Software-Defined Receiver Solution
B. Niehöfer, F. Schweikowski, C. Wietfeld,
In 20th IEEE Symposium on Communications and Vehicular Technologies, IEEE, Namur, Belgium, November 2013.
CoPoMo: A Context-Aware Power Consumption Model for LTE User Equipment
B. Dusza, et al.,
In Transactions on Emerging Telecommunications Technologies (ETT), Wiley, vol. 24, no. 6, pp. 615–632, October 2013.