Implementation of MEC-Assisted Collective Perception in an Integrated Artery/Simu5G Simulation Framework

Area of Science:

• Telecommunications Engineering
• Intelligent Transportation Systems
• Computer Networking

Background:

• Advanced vehicle-to-everything (V2X) safety applications demand ultra-low latency and high reliability.
• Cooperative V2X applications like Collective Perception (CP) generate substantial data flow, requiring robust technological support.
• The 5G core architecture introduces enabling technologies such as Multi-access Edge Computing (MEC).

Purpose of the Study:

• To propose an integrated simulation framework combining 5G network elements with V2X simulators.
• To evaluate the performance of MEC in supporting V2X cooperative applications.
• To demonstrate the feasibility of MEC-assisted Collective Perception (CP) services.

Main Methods:

• Integration of Simu5G (5G network simulator) and Artery (V2X simulator).
• Development of an extension to Simu5G for edge implementation to dispatch Collective Perception Messages (CPMs).
• Simulation of MEC server processing of incoming data from vehicles via 5G connectivity.

Main Results:

• The integrated simulation framework successfully demonstrated the operability of the system.
• Edge computing, specifically MEC, shows significant potential in assisting V2X scenarios.
• The proposed edge application effectively dispatches CPMs for MEC processing.

Conclusions:

• The combined simulation framework is a viable tool for testing advanced V2X applications.
• MEC integration is a promising approach for enhancing the performance of V2X safety services.
• Further development of MEC-assisted CP services is warranted based on these findings.