Benjamin Sliwa
Benjamin Sliwa
Verified email at tu-dortmund.de
Title
Cited by
Cited by
Year
6G white paper on machine learning in wireless communication networks
S Ali, W Saad, N Rajatheva, K Chang, D Steinbach, B Sliwa, C Wietfeld, ...
arXiv preprint arXiv:2004.13875, 2020
342020
Car-to-cloud communication traffic analysis based on the common vehicle information model
J Pillmann, B Sliwa, J Schmutzler, C Ide, C Wietfeld
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017
292017
BAT Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks
B Sliwa, D Behnke, C Ide, C Wietfeld
IEEE GLOBECOM 2016 Workshop on Wireless Networking, Control and Positioning …, 2016
252016
Radio-based traffic flow detection and vehicle classification for future smart cities
M Haferkamp, M Al-Askary, D Dorn, B Sliwa, L Habel, M Schreckenberg, ...
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017
232017
Efficient machine-type communication using multi-metric context-awareness for cars used as mobile sensors in upcoming 5G networks
B Sliwa, T Liebig, R Falkenberg, J Pillmann, C Wietfeld
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018
222018
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction
B Sliwa, R Falkenberg, T Liebig, N Piatkowski, C Wietfeld
IEEE Transactions on Intelligent Transportation Systems, 2019
212019
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks
B Sliwa, R Falkenberg, T Liebig, J Pillmann, C Wietfeld
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-7, 2018
202018
Machine learning based uplink transmission power prediction for LTE and upcoming 5G networks using passive downlink indicators
R Falkenberg, B Sliwa, N Piatkowski, C Wietfeld
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-7, 2018
172018
Empirical analysis of client-based network quality prediction in vehicular multi-MNO networks
B Sliwa, C Wietfeld
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-7, 2019
142019
System-of-systems modeling, analysis and optimization of hybrid vehicular traffic
B Sliwa, T Liebig, T Vranken, M Schreckenberg, C Wietfeld
2019 IEEE International Systems Conference (SysCon), 1-8, 2019
142019
Payload-size and deadline-aware scheduling for time-critical cyber physical systems
M Haferkamp, B Sliwa, C Ide, C Wietfeld
2017 Wireless Days, 4-7, 2017
142017
LIMITS: Lightweight machine learning for IoT systems with resource limitations
B Sliwa, N Piatkowski, C Wietfeld
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
132020
Towards cooperative data rate prediction for future mobile and vehicular 6G networks
B Sliwa, R Falkenberg, C Wietfeld
2020 2nd 6G Wireless Summit (6G SUMMIT), 1-5, 2020
122020
Rushing full speed with LTE-Advanced is economical-a power consumption analysis
R Falkenberg, B Sliwa, C Wietfeld
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-7, 2017
102017
Data-driven network simulation for performance analysis of anticipatory vehicular communication systems
B Sliwa, C Wietfeld
IEEE Access 7, 172638-172653, 2019
92019
Lightweight simulation of hybrid aerial-and ground-based vehicular communication networks
B Sliwa, M Patchou, C Wietfeld
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-7, 2019
92019
Lightweight joint simulation of vehicular mobility and communication with LIMoSim
B Sliwa, J Pillmann, F Eckermann, L Habel, M Schreckenberg, C Wietfeld
2017 IEEE Vehicular Networking Conference (VNC), 81-88, 2017
92017
Performance comparison of dynamic vehicle routing methods for minimizing the global dwell time in upcoming smart cities
T Vranken, B Sliwa, C Wietfeld, M Schreckenberg
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-7, 2018
72018
Towards data-driven simulation of end-to-end network performance indicators
B Sliwa, C Wietfeld
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-7, 2019
62019
The AutoMat CVIM-A Scalable Data Model for Automotive Big Data Marketplaces
J Pillmann, B Sliwa, C Wietfeld
2018 19th IEEE International Conference on Mobile Data Management (MDM), 284-285, 2018
62018
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