Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

TLDR

The Internet of Vehicles and V2X rely on 5G CRAN infrastructure, yet high‑speed vehicular environments pose significant resource allocation and management challenges. This study aims to detail resource allocation and management for IoV over 5G RAN networks using artificial intelligence techniques. It reviews the integration of AI strategies across multi‑layer vehicular network architectures to advance resource allocation and management.

Abstract

Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have emerged from IoT technology, which refers to connecting many vehicles with various applications to the internet. The 5G new radio is based on a cloud‐radio access network (CRAN), considered as the communication infrastructure for IoV. However, due to the significant challenges and issues, researchers have been working on IoV and V2X. One of the main challenges for V2X is resource allocation and management for a high‐speed vehicular environment. This paper discusses and provides complete detail for resource allocation and management for IoV over 5G RAN networks focusing on artificial intelligence techniques. The paper also presented reviews on integrating the multi‐layers of vehicular network architecture with AI strategy to identify advancement and future directions for resource allocation and management issues.