In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, Cellular Vehicle-to-
Everything (C-V2X) communication has attracted much attention due to its superior …

This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …

Federated Learning (FL) can protect the privacy of the vehicles in vehicle edge computing
(VEC) to a certain extent through sharing the gradients of vehicles' local models instead of …

Edge caching is a promising solution for next-generation networks by empowering caching
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …

This article investigates semantic communication in high-speed mobile Internet of Vehicles
(IoV), focusing on spectrum sharing between vehicle-to-vehicle (V2V) and vehicle-to …

Vehicular edge computing (VEC) is an emerging technology with significant potential in the
field of Internet of Vehicles (IoV), enabling vehicles to perform intensive computational tasks …

As autonomous driving may be the most important application scenario of the next
generation, the development of wireless access technologies enabling reliable and low …

This letter proposes a semantic-aware resource allocation (SARA) framework with flexible
duty cycle (DC) coexistence mechanism (SARADC) for 5G-V2X Heterogeneous Network …

In vehicle edge computing (VEC), asynchronous federated learning (AFL) is used, where the
edge receives a local model and updates the global model, effectively reducing the global …

Vehicular edge computing (VEC) is an emerging technology that enables vehicles to
perform high-intensity tasks by executing tasks locally or offloading them to nearby edge …