6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

In this work, we propose a new deep imitation learning (DIL)-driven edge-cloud computation
offloading framework for MEC networks. A key objective for the framework is to minimize the …

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 paper, we study a multiuser mobile edge computing (MEC) network, where tasks from
users can be partially offloaded to multiple computational access points (CAPs). We …

With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …

With the continuous development of the Internet of Things (IoT) and communications
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …

The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …

The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …

Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …