3 papers
cs.NI2021
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications
Karsten Heimann, Benjamin Sliwa, Manuel Patchou +1
The requirements of vehicular communications grow with increasing level of automated driving and future applications of intelligent transportation systems (ITS). Beside the ever-in…
cs.NI2020
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim
Benjamin Sliwa, Manuel Patchou, Karsten Heimann +1
Integrating Unmanned Aerial Vehicles (UAVs) into future Intelligent Transportation Systems (ITSs) allows to exploit their unique mobility potentials for improving the performance o…
cs.NI2017
Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning
Robert Falkenberg, Karsten Heimann, Christian Wietfeld
To receive the highest possible data rate or/and the most reliable connection, the User Equipment (UE) may want to choose between different networks. However, current LTE and LTE-A…