We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

As an emerging computing paradigm, mobile edge computing (MEC) can improve users'
service experience by provisioning the cloud resources close to the mobile devices. With …

Abstract Mobile Edge Computing (MEC) has been considered a promising solution that can
address capacity and performance challenges in legacy systems such as Mobile Cloud …

Mobile Edge Computing (MEC) is a promising architecture to reduce the energy
consumption of mobile devices and provide satisfactory quality-of-service to time-sensitive …

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

Mobile edge computing (MEC) has recently become a promising paradigm to meet the
increasing computing requirement of mobile devices, and hybrid energy supply has been …

Mobile edge computing (MEC) has been envisioned as a promising paradigm that could
effectively enhance the computational capacity of wireless user devices (WUDs) and quality …

Designing mobile edge computing (MEC) systems by jointly optimizing communication and
computation resources, which can help increase mobile batteries' lifetime and improve …

In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload
their computations to multiple edge servers that provide additional computing resources …

By Mobile Edge Computing (MEC), computation-intensive tasks are offloaded from mobile
devices to cloud servers, and thus the energy consumption of mobile devices can be notably …