Multi-user multi-channel computation offloading and resource allocation for mobile edge computing

S Nath, Y Li, J Wu, P Fan - ICC 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
We study the problem of computation offloading and resourceallocation in multi-user multi-
channel mobile edge computing (MEC) systems. Each user equipment (UE) in the system …

Dynamic computation offloading and resource allocation for multi-user mobile edge computing

S Nath, J Wu - GLOBECOM 2020-2020 IEEE global …, 2020 - ieeexplore.ieee.org
We study the problem of dynamic computation offloading and resource allocation in mobile
edge computing (MEC) systems consisting of multiple mobile users (MUs) with stochastic …

Deep reinforcement learning based computation offloading and resource allocation for MEC

J Li, H Gao, T Lv, Y Lu - 2018 IEEE wireless communications …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …

A deep reinforcement learning approach for collaborative mobile edge computing

J Wu, H Lin, H Liu, L Gao - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising approach to reduce the network traffic load
and alleviate the back-haul congestion by pushing computation down to the network edge …

Joint optimization on computation offloading and resource allocation in mobile edge computing

K Zhang, X Gui, D Ren - 2019 IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
We consider a general multi-user mobile edge computing (MEC) system with multiple MEC
servers. For each user, a MEC serves both as the network access point and a computation …

Multi-user computation offloading for mobile edge computing: A deep reinforcement learning and game theory approach

S Liang, H Wan, T Qin, J Li… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
At present, with the development of the Internet of Things (IoT) and the Internet of Everything
(IoE), Mobile edge computing (MEC) is proposed to provide universal and flexible …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Sequential offloading for distributed dnn computation in multiuser mec systems

F Wang, S Cai, VKN Lau - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This article studies a sequential task offloading problem for a multiuser mobile-edge
computing (MEC) system. While most of the existing works consider static one-shot …

Decentralized computation offloading for multi-user mobile edge computing: A deep reinforcement learning approach

Z Chen, X Wang - EURASIP Journal on Wireless Communications and …, 2020 - Springer
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-
limited mobile devices from computation-intensive tasks, which enables devices to offload …

Dynamic multi-user computation offloading for mobile edge computing using game theory and deep reinforcement learning

P Teymoori, A Boukerche - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has appeared as a promising solution to fill the gap between
the growing computationally intensive applications and limited computation capability of …