A deep reinforcement learning based offloading game in edge computing

Y Zhan, S Guo, P Li, J Zhang - IEEE Transactions on Computers, 2020 - ieeexplore.ieee.org
Edge computing is a new paradigm to provide strong computing capability at the edge of
pervasive radio access networks close to users. A critical research challenge of edge …

Distributed and collective deep reinforcement learning for computation offloading: A practical perspective

X Qiu, W Zhang, W Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising solution to support resource-constrained
devices by offloading tasks to the edge servers. However, traditional approaches (eg, linear …

Mobile edge computation offloading using game theory and reinforcement learning

S Ranadheera, S Maghsudi, E Hossain - arXiv preprint arXiv:1711.09012, 2017 - arxiv.org
Due to the ever-increasing popularity of resource-hungry and delay-constrained mobile
applications, the computation and storage capabilities of remote cloud has partially migrated …

Computation offloading in beyond 5G networks: A distributed learning framework and applications

X Chen, C Wu, Z Liu, N Zhang… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Facing the trend of merging wireless communications and multi-access edge computing
(MEC), this article studies computation offloading in beyond fifth generation networks. To …

Online computation offloading with double reinforcement learning algorithm in mobile edge computing

L Liao, Y Lai, F Yang, W Zeng - Journal of Parallel and Distributed …, 2023 - Elsevier
Smart mobile devices have recently emerged as a promising computing platform for
computation tasks. However, the task performance is restricted by the computing power and …

Dependent task offloading for edge computing based on deep reinforcement learning

J Wang, J Hu, G Min, W Zhan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge computing is an emerging promising computing paradigm that brings computation and
storage resources to the network edge, hence significantly reducing the service latency and …

Learning for computation offloading in mobile edge computing

TQ Dinh, QD La, TQS Quek… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is expected to provide cloud-like capacities for mobile users
(MUs) at the edge of wireless networks. However, deploying MEC systems faces many …

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 …

Multi-agent imitation learning for pervasive edge computing: A decentralized computation offloading algorithm

X Wang, Z Ning, S Guo - IEEE Transactions on Parallel and …, 2020 - ieeexplore.ieee.org
Pervasive edge computing refers to one kind of edge computing that merely relies on edge
devices with sensing, storage and communication abilities to realize peer-to-peer offloading …

Fast adaptive task offloading in edge computing based on meta reinforcement learning

J Wang, J Hu, G Min, AY Zomaya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …