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 …

Computation offloading between the edge and the cloud is an effective way for deployed
service to fully utilize the resources at both sides for its QoS improvement and overall cost …

Task offloading is an important concept for edge computing and the Internet of Things (IoT)
because computationintensive tasks must be offloaded to more resource-powerful remote …

With the exponential growth of computation-intensive and latency-sensitive applications in
5G, it is hard to satisfy the heterogeneous requirements for increased data traffic with limited …

This paper explores the problem of joint computational offloading and content caching
(OCP) in the wireless heterogeneous mobile edge computing (MEC) system, where each …

Various edge collaboration schemes that rely on reinforcement learning (RL) have been
proposed to improve the quality of experience (QoE). Deep RL (DRL) maximizes cumulative …

Distributed edge computation offloading makes use of distributed wireless edge devices to
perform offloaded computation in parallel, which can substantially reduce the computation …

Recent years have witnessed a growth in the Internet of Things (IoT) applications and
devices; however, these devices are unable to meet the increased computational resource …

Mobile edge computing (MEC) is fast becoming a key communication technique by enabling
mobile users to offload their computation tasks to the edge servers. However, the …

Technological development in the mobile devices shows that global trend is changing from
desktop computing to mobile computing. Although there is tremendous increase in the …