Dynamic offloading strategy for delay-sensitive task in mobile-edge computing networks

L Ai, B Tan, J Zhang, R Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Mobile-edge computing (MEC) technology offers computing resources for mobile devices to
conduct computationally heavy activities by putting servers at the wireless mobile network's …

Heuristically assisted multiagent RL-based framework for computation offloading and resource allocation of mobile edge computing

X Li, Y Qin, J Huo, W Huangfu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Mobile-edge computing (MEC) as a promising technology enables it to satisfy ever-
increasing demands for low-latency and ultrareliable services. However, due to the …

D3PG: Dirichlet DDPG for task partitioning and offloading with constrained hybrid action space in mobile-edge computing

L Ale, SA King, N Zhang, AR Sattar… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been regarded as a promising paradigm to reduce
service latency for data processing in the Internet of Things (IoT) by provisioning computing …

Reinforcement learning based offloading for realtime applications in mobile edge computing

H Huang, Q Ye, H Du - ICC 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Energy consumption is one of the most important issues for mobile devices such as
smartphones and laptops. For mobile devices that execute multiple computation-intensive or …

Deep reinforcement learning based task offloading algorithm for mobile-edge computing systems

H Meng, D Chao, Q Guo - Proceedings of the 2019 4th International …, 2019 - dl.acm.org
Mobile-edge computing (MEC) is deemed to a promising paradigm. By deploying high-
performance servers on the mobile access network side, MEC can provide auxiliary …

A novel deep reinforcement learning approach for task offloading in MEC systems

X Liu, S Jiang, Y Wu - Applied Sciences, 2022 - mdpi.com
With the internet developing rapidly, mobile edge computing (MEC) has been proposed to
offer computational capabilities to tackle the high latency caused by innumerable data and …

Delay-sensitive task scheduling with deep reinforcement learning in mobile-edge computing systems

H Meng, D Chao, Q Guo, X Li - Journal of Physics: Conference …, 2019 - iopscience.iop.org
Mobile-edge computing (MEC) is considered to be a new network architecture concept that
provides cloud-computing capabilities and IT service environment for applications and …

Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning

L Ale, N Zhang, X Fang, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …

Deep reinforcement learning-based offloading decision optimization in mobile edge computing

H Zhang, W Wu, C Wang, M Li… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
As a promising technique, mobile edge computing (MEC) has attracted significant attention
from both academia and industry. However, the offloading decision for computing tasks in …

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 …