Limited by battery and computing resources, the computing-intensive tasks generated by
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …

With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …

Digital twin (DT)-assisted mobile edge network can achieve energy-efficient task offloading
by optimizing the decision-making in real time. Although many DT-assisted task offloading …

With the development of the wireless network, increasing mobile applications are emerging
and receiving great popularity. These applications cover a wide area, such as traffic …

Emerging digital twin (DT) and mobile-edge computing (MEC) are crucial for enabling the
rapid development of 6G. However, the existing works ignore the edge collaboration, which …

In this letter, we study a mobile edge computing (MEC) architecture with the assistance of
digital twin (DT) applied for industrial automation where multiple Internet-of-Things (IoT) …

Smart mobile devices have recently emerged as a promising computing platform for
computation tasks. However, the task performance is restricted by the computing power and …

Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …

Mobile edge computing (MEC), as a new distributed computing model, satisfies the low
energy consumption and low latency requirements of computation-intensive services. The …

Limited battery and computing resources of mobile devices (MDs) induce performance
limitations in mobile edge computing (MEC) networks. Computational offloading has the …