The goal of this work is to propose an energy-efficient algorithm for dynamic computation
offloading, in a multi-access edge computing scenario, where multiple mobile users …

By providing spatial diversity gain, the incorporation of multiple antennas into mobile edge
computing (MEC) systems can improve the transmission performance. Meanwhile …

Task offloading from many Internet of Things (IoT) devices to a mobile edge computing
(MEC) system, consisting of multiple collaborative edge servers (CES), results in reduced …

With the explosive increase of Internet of Things (IoT) devices, an increasing number of
computation-intensive applications are emerging in IoT system. However, most IoT devices …

Task offloading in mobile-edge computing (MEC) improves the efficacy of mobile devices
(MDs) in terms of computing performance, data storage, and energy consumption by …

Offloading tasks from edge devices to the cloud is an important method to enhance the
performance of the edge device. With the help of EH (Energy Harvesting) technology, the …

As an indispensable key technology in 5G Internet of Things (IoT), mobile edge computing
(MEC) provides a variety of computing and services at the edge of the network for energy …

In smart homes, the computational offloading technology of edge cloud computing (ECC)
can effectively deal with the large amount of computation generated by smart devices. In this …

Recently, computation offloading methods have greatly improved the Quality of Experience
(QoE) in Multi-access Edge Computing (MEC) by offloading tasks to the edge servers. Since …

In this paper, we address the problem of dynamic allocation of communication and
computation resources for Edge Machine Learning (EML) exploiting Multi-Access Edge …