The study presents an OpenAirInterface-based 5G-V2X testbed designed for evaluating vehicle-to-everything (V2X) communication scenarios in 5G Standalone (SA) networks. Key components include a 5G Core Network (CN), a gNodeB at the Radio Access Network (RAN), and JetRacer Pro robot cars equipped with NVIDIA Jetson Nano platforms. The testbed integrates network slicing policies and advanced mechanisms like deep learning (DL) and reinforcement learning (RL) for detecting and mitigating network attacks, such as DDoS and radio jamming. It also explores autonomous mobility models using convolutional neural networks (CNNs) to map camera data to vehicle commands, offering a robust framework for testing autonomous V2X solutions in realistic environments.
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