Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks

X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …

[HTML][HTML] 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 …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

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 …

Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning

H Wang, H Ke, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …

An efficient computation offloading management scheme in the densely deployed small cell networks with mobile edge computing

F Guo, H Zhang, H Ji, X Li… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
To tackle the contradiction between the computation intensive applications and the resource-
hungry mobile user equipments (UEs), mobile edge computing (MEC) has been provisioned …

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 …

Computation peer offloading for energy-constrained mobile edge computing in small-cell networks

L Chen, S Zhou, J Xu - IEEE/ACM transactions on networking, 2018 - ieeexplore.ieee.org
The (ultra-) dense deployment of small-cell base stations (SBSs) endowed with cloud-like
computing functionalities paves the way for pervasive mobile edge computing, enabling …

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 …

Energy efficient computation offloading in aerial edge networks with multi-agent cooperation

W Liu, B Li, W Xie, Y Dai, Z Fei - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
With the high flexibility of supporting resource-intensive and time-sensitive applications,
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …