3 papers
cs.NI2020
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks
Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld
Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile networking with applications such as dynamic Radio Access Technology (RAT) selection,…
cs.NI2019
FALCON: An accurate real-time monitor for client-based mobile network data analytics
Robert Falkenberg, Christian Wietfeld
Network data analysis is the fundamental basis for the development of methods to increase service quality in mobile networks. This requires accurate data of the current load in the…
cs.NI2019
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction
Benjamin Sliwa, Robert Falkenberg, Thomas Liebig +2
The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-based applications such as intelligent traffic control and distributed weather forecast. Ho…