The use of in-band full-duplex (FD) enables nodes to simultaneously transmit and receive
on the same frequency band, which challenges the traditional assumption in wireless …

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 …

Vehicles on the road exchange data with base station frequently through vehicle to
infrastructure (V2I) communications to ensure the normal use of vehicular applications …

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 …

In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …

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 …

Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while kee** the privacy of …

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

This letter proposes a joint interference suppression scheme in heterogeneous networks
(HetNets) with dense small cells (SCs) and users. Different from the majority of existing …