We consider a multi-user multi-server mobile edge computing (MEC) system, in which users
arrive on a network randomly over time and generate computation tasks, which will be …

Mobile edge computing (MEC) has shown its potential in serving computation intensive
tasks via offloading. However, the heterogeneity of MEC systems and the dynamic nature of …

This paper studies mobile edge computing (MEC) networks where multiple wireless devices
(WDs) offload their computation tasks to multiple edge servers and one cloud server …

Opportunistic computation offloading is an effective method to improve the computation
performance of mobile-edge computing (MEC) networks under dynamic edge environment …

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 …

MEC is an emerging paradigm that utilizes computing resources at the network edge to
deploy heterogeneous applications and services. In the MEC system, mobile users and …

Integrating mobile edge computing (MEC) in ultra-dense network (UDN) is a key enabler to
meet the service demand by allowing smart devices to perform uninterrupted task offloading …

Mobile edge computing (MEC) is a promising paradigm to accommodate the increasingly
prosperous delay-sensitive and computation-intensive applications in 5G systems. To …

Mobile edge computing (MEC) provides a new development direction for emerging
computing-intensive applications because it can improve computing performance and lower …

Deep learning-based algorithms provide a promising solution to efficiently generate
offloading decisions in mobile edge computing (MEC) networks. However, considering …