Robert Falkenberg
Orcid: 0000-0001-9871-4172
According to our database1,
Robert Falkenberg
authored at least 19 papers
between 2016 and 2022.
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Bibliography
2022
Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
2021
Proceedings of the 13th IEEE Vehicular Networking Conference, 2021
2020
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction.
IEEE Trans. Intell. Transp. Syst., 2020
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks.
Proceedings of the 2nd 6G Wireless Summit, 2020
2019
FALCON: An Accurate Real-Time Monitor for Client-Based Mobile Network Data Analytics.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems.
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018
Power Consumption Analysis of NB-IoT and eMTC in Challenging Smart City Environments.
Proceedings of the IEEE Globecom Workshops, 2018
2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017
2016
Empirical Analysis of the Impact of LTE Downlink Channel Indicators on the Uplink Connectivity.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016