Vehicular Communication

Vehicular communication focuses on enabling efficient and reliable data exchange between vehicles and infrastructure, aiming to improve safety, efficiency, and the overall driving experience. Current research emphasizes enhancing communication reliability in challenging environments using techniques like reconfigurable intelligent surfaces and digital twins to mitigate signal interference and improve network performance, often employing machine learning algorithms such as deep reinforcement learning and contextual bandits for adaptive resource allocation and intelligent routing. These advancements are crucial for realizing applications like collaborative autonomous driving, high-definition mapping, and real-time video streaming in vehicular networks, impacting both the development of advanced driver-assistance systems and the broader field of wireless communication.