Robert Falkenberg
Robert Falkenberg
在 tu-dortmund.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
202018
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
192018
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
182019
Discover your competition in LTE: Client-based passive data rate prediction by machine learning
R Falkenberg, K Heimann, C Wietfeld
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017
172017
PhyNetLab: An IoT-based warehouse testbed
R Falkenberg, M Masoudinejad, M Buschhoff, AKR Venkatapathy, ...
2017 Federated Conference on Computer Science and Information Systems …, 2017
162017
Empirical analysis of the impact of LTE downlink channel indicators on the uplink connectivity
C Ide, R Falkenberg, D Kaulbars, C Wietfeld
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, 2016
142016
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
132018
Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks
R Falkenberg, C Ide, C Wietfeld
IEEE Vehicular Technology Conference (VTC-Fall), 2016
122016
Power Consumption Analysis of NB-IoT and eMTC in Challenging Smart City Environments
P Jörke, R Falkenberg, C Wietfeld
2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018
102018
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
72017
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
62020
Machine learning based indoor localisation using environmental data in PhyNetLab warehouse
M Masoudinejad, AKR Venkatapathy, D Tondorf, D Heinrich, ...
Smart SysTech 2018; European Conference on Smart Objects, Systems and …, 2018
52018
A simple scheme for distributed passive load balancing in mobile ad-hoc networks
B Sliwa, R Falkenberg, C Wietfeld
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017
52017
System-in-the-loop design space exploration for efficient communication in large-scale iot-based warehouse systems
R Falkenberg, J Drenhaus, B Sliwa, C Wietfeld
2018 Annual IEEE International Systems Conference (SysCon), 1-6, 2018
32018
Entwurf eines energiegewahren Treibermodells für eingebettete Betriebssysteme
R Falkenberg
32014
FALCON: An accurate real-time monitor for client-based mobile network data analytics
R Falkenberg, C Wietfeld
2019 IEEE Global Communications Conference (GLOBECOM), 1-7, 2019
22019
Energy-aware device drivers for embedded operating systems
M Buschhoff, R Falkenberg, O Spinczyk
ACM SIGBED Review 16 (3), 8-13, 2019
12019
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
B Sliwa, T Liebig, R Falkenberg, J Pillmann, C Wietfeld
2018 19th IEEE International Conference on Mobile Data Management (MDM), 282-283, 2018
12018
Machine Learning for ResourceEfficient Data Transfer in Mobile Crowdsensing
B Sliwa, R Falkenberg, C Wietfeld
Machine Learning for Future Wireless Communications, 137-156, 2020
2020
FALCON: Accurate Real-time Monitoring for Client-based Mobile Network Data Analysis
R Falkenberg
Technical report for Collaborative Research Center SFB 876 Providing …, 2019
2019
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