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 …

Mobile Edge Computing (MEC) has emerged as a promising platform to provide various
services for mobile applications at the edge of core networks while meeting stringent service …

The emerging digital twin technique enhances the network management efficiency and
provides comprehensive insights, through mapping physical objects to their digital twins …

Digital twins (DTs) constitute a critical link between the real-world and the metaverse. To
guarantee a robust connection between these two worlds, DTs should maintain accurate …

Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge
nodes to collaborate and execute microservices from end devices. Microservice offloading, a …

The presence of digital twins (DTs) has expanded within the consumer electronics area due
to its inherent benefits of high-fidelity modeling and predictive insight. However, DT …

Driven by data and models, the digital twin technique presents a new concept of optimizing
system design, process monitoring, decision-making and more, through performing …

The emerging digital twin technique enhances the network management efficiency and
provides comprehensive insights on network performance, through mapping physical …

Federated Learning (FL) offers collaborative machine learning without data exposure, but
challenges arise in the mobile edge network (MEC) environment due to limited resources …

In this paper, we propose a digital twin (DT)-based user-centric approach for processing
sensing data in an integrated sensing and communication (ISAC) system with high accuracy …