94 citations · 121 across the 18 of their papers we have counts for
38 papers
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving
Hendrik Schippers, Cedrik Schüler, Benjamin Sliwa +1
Future Tele-operated Driving (ToD) applications place challenging Quality of Service (QoS) demands on existing mobile communication networks that are of highly important to comply…
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications
Benjamin Sliwa, Hendrik Schippers, Christian Wietfeld
In order to satisfy the ever-growing Quality of Service (QoS) requirements of innovative services, cellular communication networks are constantly evolving. Recently, the 5G NonStan…
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…
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing
Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld
In this paper, we present Context-Adaptive PARRoT (CA-PARRoT) as an extension of our previous work Predictive Ad-hoc Routing fueled by Reinforcement learning and Trajectory knowled…
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network
Benjamin Sliwa, Rick Adam, Christian Wietfeld
Vehicular big data is anticipated to become the "new oil" of the automotive industry which fuels the development of novel crowdsensing-enabled services. However, the tremendous amo…
A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification
Marcus Haferkamp, Benjamin Sliwa, Christian Wietfeld
The advancing deployment of ubiquitous Internet of Things (IoT)-powered vehicle detection and classification systems will successively turn the existing road infrastructure into a…