activity
20162022
most cited6G White Paper on Machine Learning in Wireless Communication Networks

94 citations · 587 across the 47 of their papers we have counts for

collaborators
Showing 2019 · cs.NIShow all

8 papers · 2 filters

cs.NI2019★ 21 cited

Data-driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems

Benjamin Sliwa, Christian Wietfeld

The provision of reliable connectivity is envisioned as a key enabler for future autonomous driving. Anticipatory communication techniques have been proposed for proactively consid…

cs.NI2019

Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles

Manuel Patchou, Benjamin Sliwa, Christian Wietfeld

Unmanned Aerial Vehicles (UAVs) have drastically gained popularity in various Intelligent Transportation System (ITS) applications to improve the safety and efficiency of transport…

cs.NI2019★ 18 cited

Lightweight Simulation of Hybrid Aerial- and Ground-based Vehicular Communication Networks

Benjamin Sliwa, Manuel Patchou, Christian Wietfeld

Cooperating small-scale Unmanned Aerial Vehicles (UAVs) will open up new application fields within next-generation Intelligent Transportation Sytems (ITSs), e.g., airborne near fie…

cs.NI2019★ 52 cited

Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction

Benjamin Sliwa, Robert Falkenberg, Thomas Liebig +2

The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-based applications such as intelligent traffic control and distributed weather forecast. Ho…

cs.NI2019★ 8 cited

Towards Data-driven Simulation of End-to-end Network Performance Indicators

Benjamin Sliwa, Christian Wietfeld

Novel vehicular communication methods are mostly analyzed simulatively or analytically as real world performance tests are highly time-consuming and cost-intense. Moreover, the hig…

cs.NI2019★ 29 cited

Empirical Analysis of Client-based Network Quality Prediction in Vehicular Multi-MNO Networks

Benjamin Sliwa, Christian Wietfeld

Multi-Mobile Network Operator (MNO) networking is a promising method to exploit the joint force of multiple available cellular data connections within vehicular networks. By applyi…

cs.NI2019★ 21 cited

System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic

Benjamin Sliwa, Thomas Liebig, Tim Vranken +2

While the development of fully autonomous vehicles is one of the major research fields in the Intelligent Transportation Systems (ITSs) domain, the upcoming longterm transition per…

cs.NI2019★ 32 cited

Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks

Benjamin Sliwa, Stefan Falten, Christian Wietfeld

The provision of reliable and efficient end-to-end communication within ground- and air-based mobile mesh networks is a major challenge for routing protocols due to the mobility-re…