Incremental Over-the-Air Update for Software-Defined Vehicles with C-V2X
Software-defined vehicles (SDVs) rely on intricate software systems distributed across multiple electronic control units (ECUs), making errors inevitable and costly to address via conventional recalls. Software over-the-air (OTA) update offers a real-time, cost-efficient solution while enabling software customization. This paper presents a comprehensive OTA framework for SDVs, utilizing a robotic vehicle and an industry-grade roadside unit (RSU). The framework leverages Docker to create isolated environments and Docker Compose to manage rolling updates, minimizing disruptions and enabling rollbacks. We also propose RSU- and vehicle-side mechanisms for incremental update and evaluate the performance of Cellular Vehicle-to-Everything (C-V2X), including V2X and 5G, alongside Wi-Fi for OTA transmission. Our study of model weight (ResNet) and software package (YOLO, UFAST) updates shows that C-V2X achieves over <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$30 \times$</tex> faster transmission than Wi-Fi. Using 5G within C-V2X further reduces transmission by up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2339 \times$</tex> compared to V2X, establishing it as a highly effective OTA solution. Incremental updates enhance efficiency by cutting delays by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2 \times$</tex> versus full updates, with a 32 KB chunk size yielding the highest success rate and shortest times across distances. Incremental update also reduces transmission by up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$5000 \times$</tex> using C-V2X, enabling package downloads even while the SDV is in motion.
Authors
- Sidi Lu (ORCID: https://orcid.org/0000-0001-9846-7570)
- Yichen Luo (ORCID: https://orcid.org/0009-0008-6871-3919)
Institutions
- William & Mary (US)
- Williams (United States) (US)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174478
- Primary Topic
- Real-Time Systems Scheduling
- Type
- article
- Field-Weighted Citation Impact
- 0.00