Cooperative Autonomous Driving Oriented MEC-Aided 5G-V2X: Prototype System Design, Field Tests and AI-Based Optimization Tools

• Published in: IEEE access Vol. 8; pp. 54288 - 54302
• Main Authors: Ma, Huisheng, Li, Shufang, Zhang, Erqing, Lv, Zhengnan, Hu, Jing, Wei, Xinlei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Autonomous vehicles; Cloud computing; Communications traffic; Costs; cuckoo search; deep learning; Design optimization; Edge computing; Field study; Field tests; High definition; MEC; Mobile computing; Network latency; Optimization; Particle swarm optimization; Permutations; Prototypes; Resource allocation; Swarm intelligence; Systems design; V2X; Vehicle-to-everything

Vehicle-to-Everything (V2X) requirements from cooperative autonomous driving can be characterized as ultra-reliable, low latency, high traffic, and high mobility. These requirements introduce great challenges in the air interface and protocol stack design, resource allocation, network deployment, an...