Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …

Edge computing is an indispensable technology that overcomes delay limitations of cloud
computing. In edge computing, computational resources are deployed at the network edge …

Owing to their limited computing power and battery level, wireless users (WUs) can hardly
handle compute-intensive workflows by the local processor. Multi-access edge computing …

When multiple users seek to offload computational tasks to their access point, the nature of
the multiple access scheme, and the optimization of its parameters, play a critical role in the …

When multiple devices seek to offload computational tasks to their access point, the nature
of the multiple access scheme plays a critical role in the system performance. For a system …

Mobile edge computing provides relatively rich computation resources for Internet-of-Things
(IoT) task offloading at the edge of networks. As time goes on, user tasks present diverse …

In the data-rich everything-connected world, rapid and green data processing is essential,
especially for some delay-sensitive and computation-intensive tasks. Motivated by these …

Mobile edge computing systems provide computational resources at the network access
point that can be shared among the attached devices. Effective utilization of these resources …

Multi-user computation offloading inherently involves the allocation of communication
resources among the offloading devices. Since the devices require timely results, that …

A common approach in existing collaborative edge computing offloading schemes is to
partition tasks into independent sub-tasks and offload them to participating servers …