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

Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …

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 …

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 …

This paper proposes a joint computation and communication cooperation approach in
mobile edge computing (MEC) systems for improving the energy efficiency in mobile …

Mobile-edge computing (MEC) has recently emerged as a promising paradigm to liberate
mobile devices from increasingly intensive computation workloads, as well as to improve the …

Mobile edge computing (MEC) is an emerging computational paradigm for providing storage
and computing capabilities in network edge, to improve the experience of users, to shorten …

Resource allocation algorithms are conceived for minimizing the energy consumption of
multiuser mobile edge computing (MEC) systems operating in the face of interference …

Mobile-edge computation offloading (MECO) offloads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

Offloading computationally intensive tasks from user equipments (UEs) to mobile edge
computing (MEC) servers is a promising technique to boost up the computational capacity of …