Computation offloading strategy based on deep reinforcement learning in cloud-assisted mobile edge computing

Y Wang, H Ge, A Feng, W Li, L Liu… - 2020 IEEE 5th …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new computing paradigm that migrates rich computing
and storage resources to the edge of the network. However, compared with traditional cloud …
被引用次数：22 相关文章

Learning for smart edge: Cognitive learning-based computation offloading

Y Hao, Y Jiang, MS Hossain, MF Alhamid… - Mobile Networks and …, 2020 - Springer
With the development of intelligent applications, more and more intelligent applications are
computation intensive, data intensive and delay sensitive. Compared with traditional cloud …
被引用次数：18 相关文章 所有 5 个版本

Computation offloading and resource management for energy and cost trade-offs with deep reinforcement learning in mobile edge computing

R Mo, X Xu, X Zhang, L Qi, Q Liu - … 2021, Virtual Event, November 22–25 …, 2021 - Springer
Mobile edge computing, as a formidable paradigm, sinks the computing and communication
resources from the centralized cloud to the edge of networks near to users, which meets the …
被引用次数：5 相关文章 所有 3 个版本

Joint optimization of offloading and communication resources in mobile edge computing

C Du, Y Chen, Z Li, G Rudolph - 2019 IEEE Symposium Series …, 2019 - ieeexplore.ieee.org
Mobile-Edge Computing (MEC) is a novel computing paradigm proposed in recent years.
MEC addresses the shortcomings of mobile devices (MDs) in terms of computational …
被引用次数：6 相关文章

Computation offloading strategy for improved particle swarm optimization in mobile edge computing

S Li, H Ge, X Chen, L Liu, H Gong… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) reduces latency and energy consumption by migrating
computing resources to the edge of the network. Computing offloading is one of the means …
被引用次数：16 相关文章

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 …
被引用次数：227 相关文章

A deep reinforcement learning approach for online computation offloading in mobile edge computing

Y Zhang, T Liu, Y Zhu, Y Yang - 2020 IEEE/ACM 28th …, 2020 - ieeexplore.ieee.org
With the explosion of mobile smart devices, many computation intensive applications have
emerged, such as interactive gaming and augmented reality. Mobile edge computing is put …
被引用次数：17 相关文章

A Q-learning based method for energy-efficient computation offloading in mobile edge computing

K Jiang, H Zhou, D Li, X Liu, S Xu - 2020 29th International …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has emerged as a promising computing paradigm in 5G
networks, which can empower User Equipments (UEs) with computation and energy …
被引用次数：29 相关文章 所有 2 个版本

DRL-based resource allocation optimization for computation offloading in mobile edge computing

G Wu, Y Zhao, Y Shen, H Zhang… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a new development direction for emerging
computing-intensive applications because it can improve computing performance and lower …
被引用次数：12 相关文章 所有 2 个版本

Deep Q-Learning Based Computation Offloading Strategy for Mobile Edge Computing.

Y Wei, Z Wang, D Guo, FR Yu - Computers, Materials & …, 2019 - search.ebscohost.com
To reduce the transmission latency and mitigate the backhaul burden of the centralized
cloud-based network services, the mobile edge computing (MEC) has been drawing …
被引用次数：52 相关文章