@inproceedings{9c01949c10204f65925c6964196076cc,
title = "Dynamic Bandwidth Allocation of 10 Gigabit Symmetric Passive Optical Network with Service-Aware Slicing for Intelligent and Connected Vehicles",
abstract = "This paper proposes a dynamic bandwidth allocation strategy for passive optical networks in intelligent and connected vehicles with centralized electrical/electronic architectures, designed to satisfy stringent automotive Quality of Service requirements. Key contributions include: (i) a latency-optimized dynamic bandwidth allocation mechanism for automotive Quality of Service requirements; (ii) a fault-tolerant dual-homing topology supporting sub-millisecond protection switching; and (iii) a software-defined networking based slicing framework for isolated resource provisioning to safety-critical functions. The effectiveness of the proposed approach is validated through Software-in-the-Loop and Hardware-in-the-Loop co-simulation, achieving 10 Gigabits throughput under 120 kilometers per hour mobility with 3.2 microseconds deterministic latency for brake-by-wire systems.",
keywords = "deterministic latency, fault tolerance, Intelligent and Connected Vehicles, network virtualization, vehicular communications, XGSPON",
author = "Xingchu Xiang and Guoxuan Xu and Zhihao Gao and Wanke Cao",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 4th International Conference on Communication Networks and Machine Learning, CNML 2026 ; Conference date: 30-01-2026 Through 01-02-2026",
year = "2026",
doi = "10.1109/CNML68938.2026.11453245",
language = "English",
series = "2026 International Conference on Communication Networks and Machine Learning, CNML 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "256--260",
booktitle = "2026 International Conference on Communication Networks and Machine Learning, CNML 2026",
address = "United States",
}