Intelligent Traffic Control System Using 5G-NR-V2X

초록

Intelligent traffic control is a key tool to achieve resource-efficient and sustainable mobility solutions for V2X services. One of the most stringent requirements in the vehicular network is a safety-critical real-time system. To guarantee low latency and other diverse QoS requirements, wireless network resources should be utilized effectively. In the composite vehicular network, Machine Learning (ML) has emerged as a powerful approach to cope with the complexity of computation and can handle big data analysis. This paper provides an overview of the management of network resources through Reinforce Learning (RL) using 5G-NR-V2X with advanced ML approaches such as Deep Reinforcement Learning (DRL) method for an intelligent traffic control system.