The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can
game, work, learn, and socialize. The realization of metaverse not only requires a large …

Multicast short video streaming (MSVS) can effectively reduce network traffic load by
delivering identical video sequences to multiple users simultaneously. The existing MSVS …

The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles
(IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis …

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 …

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 …

Connected and Autonomous Vehicles (CAVs) will be provided with multiple sensing and
connectivity options as well as embedded computing and decision-making capabilities. The …

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 …

Digital twin (DT) platforms are increasingly regarded as a promising technology for
controlling, optimizing, and monitoring complex engineering systems such as next …

Achieving a holistic and long-term understanding through accurate network modeling is
essential for orchestrating future networks with increasing service diversity and infrastructure …

Federated learning (FL) is capable of using the local data sets from large-scale nodes for
distributed model training. In FL tasks, training and updating are usually repeated ping-pong …