Reliable tool for the simulation of V2X use cases in 5G networks

As the automotive market is shifting towards connected and automated vehicles, there is an increasing need for reliable connectivity. This is where cellular vehicle-to-everything (C-V2X), the communication standard for automotive connectivity in 4G and 5G mobile networks, comes into play. C-V2X enables vehicles to connect with other vehicles, pedestrians, roadside equipment and the Internet.

With C-V2X becoming established as a key technology for future cellular networks, an even greater need arises to simulate and evaluate the capabilities of the developed 3GPP standards in realistic traffic scenarios and under various network conditions. For this purpose, we are developing C-V2XSim – a new and reliable simulation platform for C-V2X use cases in 5G networks.


The first module of the platform is a simulator based on vehicle-to-network (V2N) communication, e.g., for remote driving.


Vehicle-to-network (V2N) communication for remote driving

C-V2X offers a vehicle-to-network (V2N) mode that relies on traditional cellular links over base stations to connect vehicles to the Internet, which is essential for use cases like remote driving.

While autonomous vehicles could revolutionize mobility and transportation, their safety is still a widely debated issue. To address this concern, remote driving seeks to improve the safety of connected mobility by allowing a human driver at a remote location to take control over an autonomous vehicle whenever it encounters high-risk situations. However, remote driving imposes high demands on the communication network. In particular, it calls for broad coverage, high data throughput, quality of service guarantees and low latencies, so that remote drivers can react efficiently to current road conditions.

To provide such insights into the network performance, we are currently working on the development of a new and reliable simulation tool for remote driving use cases in 5G networks.


What is
unique about
our simulator?

Most reliable
simulation results


Thanks to a combination of the best simulation frameworks put together and verified by our standardization and communication network experts, users get realistic and reliable simulation results.

For instance, C-V2XSim uses a more precise 5G physical layer abstraction model than any other currently available open source tool, which guarantees a more accurate performance assessment on the application layer.

Network performance heat map


There are places in every city where network coverage is not sufficient to transfer video data at a quality that would allow a remote driver to safely control vehicle movements.

That is why, C-V2XSim tracks the performance of the network across the area of the simulated scenario. The collected data is used to generate a geographical heat map of packet loss within the network. This allows the identification of coverage and performance bottlenecks, which have to be considered when planning real-life test drives or complete network architectures.

5G QoS model


C-V2XSim builds upon an implemented 5G quality of service (QoS) management (3GPP TS 23.501) that controls and influences the whole data plane traffic and the message flow of each application according to its priority.

Simulating remote driving scenarios – how it works

The simulation platform can be run within any web browser. It provides an interface where the user can choose the parameters of the simulations and run as many as needed. The results appear on a dashboard that contains graphs on key performance indicators (KPIs). Among others, those include reliability, achieved delay, jitter and packet loss. Once the simulations are finished, a comprehensive report is prepared automatically for download. The final report comes along with a simulation overview, scenario descriptions and KPI plots that provide a comprehensive summary of the 5G performance for one or several simulation runs.

Options for defining your remote driving scenario

Easy use case parametrization

  • Traffic parameters:
    up to 600 vehicles moving in the cell
  • Cellular network parameters:
    e.g. frequency band and carrier bandwidth
  • Use case specific parameters:
    e.g. size of data packets sent in uplink and downlink as well as QoS requirements

Detailed traffic

  • Human and remote driving cars
  • Acceleration and deceleration, breaking reaction and inter-vehicle distances
  • Pedestrian traffic
  • Traffic light control and prioritization of traffic directions
  • Different types of vehicles, like buses, taxis, cars and trucks

Selectable deployment scenarios

  • Urban scenario:
    driving on main streets, with roundabouts and complex crossings
  • High-speed scenario:
    driving on high ways
  • Rural scenario:
    driving on country roads

C-V2XSim is part of the 5G Bavaria initiative


First simulate, then test out on the road

The simulation platform “C-V2XSim” contains selected test routes of the 5G Bavaria test bed “Automotive” in Rosenheim, Germany.

More information


5G Bavaria test center

Connected 5G technologies and applications


5G Bavaria automotive test bed

Connected driving


Connected mobility – vehicle communication

Communication technologies for future mobility networks