Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks. - Robert Falkenberg; Christoph Ide; Christian Wietfeld (VTC Fall, 2016)

Empirical Analysis of the Impact of LTE Downlink Channel Indicators on the Uplink Connectivity. - Christoph Ide; Robert Falkenberg; Dennis Kaulbars; Christian Wietfeld (VTC Spring, 2016)

PhyNetLab: An IoT-Based Warehouse Testbed. - Robert Falkenberg; Mojtaba Masoudinejad; Markus Buschhoff; Aswin Karthik Ramachandran Venkatapathy; Birte Friesel; Michael ten Hompel; Olaf Spinczyk; Christian Wietfeld (FedCSIS, 2017)

Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning. - Robert Falkenberg; Karsten Heimann; Christian Wietfeld (GLOBECOM, 2017)

Rushing Full Speed with LTE-Advanced Is Economical - A Power Consumption Analysis. - Robert Falkenberg; Benjamin Sliwa; Christian Wietfeld (VTC Spring, 2017)

A Simple Scheme for Distributed Passive Load Balancing in Mobile Ad-Hoc Networks. - Benjamin Sliwa; Robert Falkenberg; Christian Wietfeld (VTC Spring, 2017)

Power Consumption Analysis of NB-IoT and eMTC in Challenging Smart City Environments. - Pascal Jörke; Robert Falkenberg; Christian Wietfeld (GLOBECOM Workshops, 2018)

Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (MDM, 2018)

System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems. - Robert Falkenberg; Jens Drenhaus; Benjamin Sliwa; Christian Wietfeld (SysCon, 2018)

Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators. - Robert Falkenberg; Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (VTC Fall, 2018)

Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Johannes Pillmann; Christian Wietfeld (VTC Fall, 2018)

Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (VTC Spring, 2018)

FALCON: An Accurate Real-Time Monitor for Client-Based Mobile Network Data Analytics. - Robert Falkenberg; Christian Wietfeld (GLOBECOM, 2019)

Energy-aware device drivers for embedded operating systems. - Markus Buschhoff; Robert Falkenberg; Olaf Spinczyk (SIGBED Rev., 2019)

Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. - Benjamin Sliwa; Robert Falkenberg; Christian Wietfeld (6G SUMMIT, 2020)

Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Nico Piatkowski; Christian Wietfeld (IEEE Trans. Intell. Transp. Syst., 2020)

On the Benefits of Demand-based Planning and Configuration of Private 5G Networks. - Caner Bektas; Cedrik Schüler; Robert Falkenberg; Philipp Gorczak; Stefan Böcker; Christian Wietfeld (VNC, 2021)

Mobile-Data Network Analytics Highly Reliable Networks. - Robert Falkenberg; Karsten Heimann; Benjamin Sliwa (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Power Consumption Analysis and Uplink Transmission Power. - Robert Falkenberg (Mach. Learn. under Resour. Constraints Vol. 1 (1), 2022)