Project results
We would have enjoyed presenting the results of our more than three-year project work to our partners, sponsors, interested experts and the press in a live presentation at the ATC-Testing Center in Aldenhoven. Unfortunately, the developments and circumstances related to the SARS-CoV-2 pandemic made this impossible. We would therefore like to present our results in the form of a project video, a series of thematic posters and the compilation of our scientific project publications.
April 2020
April 2020
High Density Platooning
Parallel Platooning
City Crossing - Vulnerable Road User (VRU) Protection
Coexistence
An open SDR platform for C-V2X and beyond
Integration of Cellular V2X Solutions (Multicast/Broadcast/MQTT)
Inter-MEC Application Mobility
5G NetMobil Overall Architecture
Virtual Lab: Platooning Simulator and Testbed with Visual Feedback
Safety Concept for Platoon Communication
Attribute-Based Credentials in High-Density Platooning
Predictive QoS based on any-to-any radio maps
5G Value Chain for the Next Generation Automotive Market
Datum
Partner
Titel
Link
01/2020
Fraunhofer HHI
Robust Submodular RRH Selection for Joint Multicast Downlink Transmission
01/2020
TUD-MNS
Performance Analysis of Various Waveforms and Coding Schemes in V2X Communication Scenarios
08/2019
TUD-MNS
String Stable CACC under LTE-V2V Mode 3: Scheduling Periods and Transmission Delays
08/2019
TU Kaiserslautern
Interference Aware Power Management in D2D Underlay Cellular Networks
07/2019
TU Kaiserslautern
Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios
06/2019
TUD-MNS
Control Loop Aware LTE-V2X Semi-Persistent Scheduling for String Stable CACC
05/2019
TUD-CommNets/Nokia
Containers vs Virtual Machines: Choosing the RightContainers vs Virtual Machines: Choosing the Right Virtualization Technology for Mobile Edge Cloud
05/2019
Fraunhofer HHI
Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness
04/2019
TUD-MNS
Exploiting Multi-RAT Diversity in Vehicular Ad-hoc Networks to Improve Reliability of Cooperative Automated Driving Applications
04/2019
TUD-MNS
Performance Evaluation of Next Generation V2X Communication Technologies: 5G NR-V2V vs. IEEE 802.11bd
04/2019
TUD-MNS
On Network Deployment for Ultra-Reliable Communication Using Multi-connectivity
04/2019
Deutsche Telekom
A Holistic Communication Network for Efficient Transport and Enhanced Driving via Connected Cars
04/2019
Volkswagen
Prediction of Packet Inter-Reception Time for Platooning: A Conditional Exponential Distribution Modeling Approach
02/2019
TU Kaiserslautern
Mobility Context Awareness in Heterogeneous Networks to Enhance Multipath Communications
02/2019
Volkswagen
Packet Inter-Reception Time Prediction for High-Density Platooning in Varying Surrounding Traffic Density
02/2019
Fraunhofer HHI
Multicast Beamforming Using Semidefinite Relaxation And Bounded Perturbation Resilience
02-2019
Fraunhofer HHI
Weakly Standard Interference Mappings: Existence Of Fixed Points And Applications To Power Control In Wireless Networks
02/2019
TUD-MNS
A Feasibility Study of LTE-V2X Semi-Persistent Scheduling for String Stable CACC
02/2019
VW
Comparison Between Ray Tracing and WINNER+ Channel Models for Platoon Emergency Braking
01/2019
TUD-MNS
PHY Abstraction Techniques for IEEE 802.11p and LTE-V2V: Applications and Analysis
01/2019
TUD-MNS
Physical Layer Abstraction for Ultra-Reliable Communications in 5G Multi-Connectivity Networks
11/2018
VW
Sidelink Technologies Comparison for Highway High-Density Platoon Emergency Braking
09/2018
TUD-MNS
Hybrid V2X Communications: Multi-RAT as Enabler for Connected Autonomous Driving
04/2018
UKL
Applying Multi-Radio Access Technologies for Reliability Enhancement in Vehicle-to-Everything Communication
5G NetMobil - The Project
The main objective of the 5G NetMobil project is to develop a comprehensive communication infrastructure for tactile connected driving and to demonstrate the advantages of tactile connected driving in terms of traffic safety, traffic efficiency and environmental impact compared to autonomous driving based solely on local sensor data.
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While autonomous driving already promises more comfort and safety, tactile networked driving enables new driving strategies that further increases road traffic safety, significantly reduces carbon dioxide emissions and significantly improves road traffic efficiency through better capacity utilization and reduced risk of traffic jams and accidents.
Additional networking possibilities will eliminate the fundamental limitations of today's autonomous system approaches, which use only the information obtained by locally installed onboard sensors for vehicle control. The decision horizon is thus extremely restricted, since the "visibility of the vehicle" is limited by the sensor technologies used, in particular radar and camera sensors. The sensors of all vehicles as well as the environment or the existing infrastructure (e.g. surveillance cameras at intersections or on motorways, geolocal weather sensors, etc.) can be combined virtually in the network, which contributes to better decision-making and in particular provides information about regions and scenarios that are still far away from the vehicle but are relevant for guidance. Direct communication between vehicles also expands their field of vision and enables new applications leading to increased efficiency and comfort. The information obtained in this way can be supplied to all vehicles by a central decision-making authority and can thus be used to control and regulate the local actuators. For the resulting control loops, transmission latency times in real time, which means a few milliseconds, are absolutely necessary.
