Recent intensive and extensive development of the fifth-generation (5G) of cellular networks
has led to their deployment throughout much of the world. As part of this implementation …

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 …

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 …

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 …

The expectation for communication systems beyond 5G/6G is to provide high reliability, high
throughput, low latency, and high energy efficiency services. The integration between …

Optimizing the energy efficiency (EE) of wireless networks is one of the key priorities in the
design of beyond 5G mobile technologies. In this pursuit, the use of new frequency bands, in …

This paper explores the evolution of wireless communication networks from utilizing the sub-
6 GHz spectrum and the millimeter wave frequency band to incorporating extremely high …

In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving
solution by aggregating local models without sharing data. Traditional supervised learning …

The evolution of data-intensive services and applications continues to drive the need for
higher data rates in wireless communication systems, consequently depleting the radio …