Simulation-Based Performance Evaluation of MEC-Assisted Collective Perception Under Realistic Urban Traffic Load

Gergely Attila Kovács, Gergely Attila Kovács, László Bokor, László Bokor

2025

Abstract

Safety-related V2X applications require ultra-low latency and very high reliability. As cellular-based V2X technologies gain more relevance, the autonomous driving (AD) enabler features of 5G and beyond, such as network slicing technologies or Multi-access Edge Computing (MEC), become more available, and satisfying heavy communications requirements might become less of a challenge. Adopting such advancements is especially important in reaching Connected, Cooperative and Automated Mobility (CCAM), where achieving seamless service quality for infrastructure-supported AD functions like object fusion in the edge cannot be guaranteed without auxiliary support. These systems must serve users in many safety-related use cases, thus, it is essential to know or at least be able to estimate how the growing availability of V2X will affect existing edge infrastructure. Noticing how the V2X penetration ratio affects communication and object detection parameters, and indirectly influences MEC performance, might hold practical insights on preparing edge infrastructure for future CCAM scenarios. Therefore, this paper studies the performance characteristics of MEC applications for Collective Perception (CP) using realistic 5G radio, MEC, and urban traffic load models in a large-scale V2X simulation framework and introduces a multi-library integrated simulation toolset with appropriate methodology, object-fusion-aware edge node performance models, and example parameter studies.

Paper Citation

in Harvard Style

Kovács G. and Bokor L. (2025). Simulation-Based Performance Evaluation of MEC-Assisted Collective Perception Under Realistic Urban Traffic Load. In Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-759-7, SciTePress, pages 404-411. DOI: 10.5220/0013648200003970

in Bibtex Style

@conference{simultech25,
author={Gergely Kovács and László Bokor},
title={Simulation-Based Performance Evaluation of MEC-Assisted Collective Perception Under Realistic Urban Traffic Load},
booktitle={Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2025},
pages={404-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013648200003970},
isbn={978-989-758-759-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Simulation-Based Performance Evaluation of MEC-Assisted Collective Perception Under Realistic Urban Traffic Load
SN - 978-989-758-759-7
AU - Kovács G.
AU - Bokor L.
PY - 2025
SP - 404
EP - 411
DO - 10.5220/0013648200003970
PB - SciTePress