Propelled by recent advances in Mobile Edge Computing (MEC) and the Internet of Things
(IoT), the digital twin technique has been envisioned as a de-facto driving force to bridge the …

In this paper, we present a framework that integrates digital twin (DT) technology into space-
air-ground integrated networks (SAGINs) to enhance vehicular edge computing (VEC). Our …

The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting
for distributed resources control in smart park. However, the adverse impact of model …

At the network edges, the multi-tier computing framework provides mobile users with efficient
cloud-like computing and signal processing capabilities. Deploying digital twins in the multi …

In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge
distillation (KD) driven training framework for FL is proposed, where each user can select its …

With the rapid development of 6G, the intelligent space-air-ground integrated vehicular
network (ISAGIVN) has been proposed to efficiently provide vehicles with ubiquitous …

With the boom in advanced intelligent vehicles, the amount of data associated with the
Internet of Vehicles (IoVs) grows exponentially. Sharing road data among vehicles …

This article explores the optimal offloading strategy in the Internet of Vehicles (IoVs), which is
challenged by three issues. First, the resources of edge servers are shared by multiple …

To provide a better support for various vehicular applications, digital twin (DT), as an
emerging technology, can enable a virtual presentation of physical vehicular networks to …

Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …