Deep reinforcement learning based joint edge resource management in maritime network

F Xu, F Yang, C Zhao, S Wu - China Communications, 2020 - ieeexplore.ieee.org
Due to the rapid development of the maritime networks, there has been a growing demand
for computation-intensive applications which have various energy consumption …

[HTML][HTML] Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing

P Zhang, Y Su, B Li, L Liu, C Wang, W Zhang, L Tan - Drones, 2023 - mdpi.com
Traditional multi-access edge computing (MEC) often has difficulty processing large
amounts of data in the face of high computationally intensive tasks, so it needs to offload …

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 …

Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach

H Zhang, R Liu, A Kaushik… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …

Two-stage offloading optimization for energy–latency tradeoff with mobile edge computing in maritime Internet of Things

T Yang, H Feng, S Gao, Z Jiang, M Qin… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The ever-increasing growth in maritime activities with large amounts of Maritime Internet-of-
Things (M-IoT) devices and the exploration of ocean network leads to a great challenge for …

Deep reinforcement learning based latency minimization for mobile edge computing with virtualization in maritime UAV communication network

Y Liu, J Yan, X Zhao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The rapid development of maritime activities has led to the emergence of more and more
computation-intensive applications. In order to meet the huge demand for wireless …

Intelligent task offloading and collaborative computation in multi-UAV-enabled mobile edge computing

J Xia, P Wang, B Li, Z Fei - China Communications, 2022 - ieeexplore.ieee.org
This article establishes a three-tier mobile edge computing (MEC) network, which takes into
account the cooperation between unmanned aerial vehicles (UAVs). In this MEC network …

Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing

N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

Priority-aware resource scheduling for uav-mounted mobile edge computing networks

W Zhou, L Fan, F Zhou, F Li, X Lei, W Xu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we investigate the joint impact of task priority and mobile computing service on
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …

[HTML][HTML] Multilevel task offloading and resource optimization of edge computing networks considering UAV relay and green energy

Z Chen, N Xiao, D Han - Applied sciences, 2020 - mdpi.com
Unmanned aerial vehicle (UAV)-assisted relay mobile edge computing (MEC) network is a
prominent concept, where network deployment is flexible and network coverage is wide. In …