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 …

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 …

Deep reinforcement learning-based computation offloading for 5G vehicle-aware multi-access edge computing network

Z Wu, D Yan - China Communications, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is one of the key technologies of the future 5G network.
By deploying edge computing centers at the edge of wireless access network, the …

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 …

When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …

S Yu, X Chen, Z Zhou, X Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …

Federated learning-based computation offloading optimization in edge computing-supported internet of things

Y Han, D Li, H Qi, J Ren, X Wang - Proceedings of the ACM Turing …, 2019 - dl.acm.org
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …

Mobile edge computing empowered energy efficient task offloading in 5G

L Yang, H Zhang, M Li, J Guo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile edge computing has been proposed in recent years to offload computation tasks
from user equipments (UEs) to the network edge to break hardware limitations and resource …

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 …

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 …

[HTML][HTML] Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

L Huang, X Feng, C Zhang, L Qian, Y Wu - Digital Communications and …, 2019 - Elsevier
The rapid growth of mobile internet services has yielded a variety of computation-intensive
applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which …