Published
September 9, 2026
Author(s)
Davide Pesavento, Yuyin Song
Abstract
Cellular Vehicle-to-Everything (C-V2X), a critical component of Intelligent Transportation Systems (ITS), is a wireless technology that enables vehicles to communicate with their surroundings (e.g., other vehicles, roadway infrastructure like traffic lights, and pedestrians) to improve road safety and efficiency of safety-critical applications (e.g., emergency brake warning, intersection collision warning). However, a significant challenge for the mass deployment of C-V2X technology is the mutual interoperability and seamless communication between diverse On-Board Units (OBUs) and Road-Side Units (RSUs). Therefore, interoperability testing, measurement, and assessment methodologies are crucial to overcome this challenge. This paper presents an open-source, automated, passive interoperability testing tool designed to orchestrate synchronized data acquisition across heterogeneous C-V2X hardware platforms. By utilizing a passive or non-intrusive approach on the C-V2X device, the tool automates the lifecycle of packet capture on the PC5 sidelink interface without altering the radio environment or requiring proprietary software access. Our tool provides a vendor-agnostic, scalable, and extensible framework for collecting high-fidelity traces necessary for cross-vendor protocol validation and standardized interoperability analysis.
Proceedings Title
Proceedings of 2026 IEEE International Symposium on Measurement in Networking and Communications (MNC)
Conference Dates
July 13-16, 2026
Conference Location
Naples, IT
Conference Title
2026 IEEE International Symposium on Measurement in Networking and Communications (MNC)
Keywords
Cellular V2X, Interoperability, OBU, Passive Interoperability Testing, RSU, Sidelink, V2I, V2V
Citation
Pesavento, D. and Song, Y. (2026), Automated Passive Interoperability Testing for Cellular V2X, Proceedings of 2026 IEEE International Symposium on Measurement in Networking and Communications (MNC), Naples, IT, [online], https://doi.org/10.1109/MNC69143.2026.11680960, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=961993 (Accessed September 18, 2026)
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