Collaborative offloading for UAV-enabled time-sensitive MEC networks
Recently, unmanned aerial vehicle (UAV) acts as the aerial mobile edge computing (MEC)
node to help the battery-limited Internet of Things (IoT) devices relieve burdens from …
node to help the battery-limited Internet of Things (IoT) devices relieve burdens from …
Joint task offloading and resource allocation in UAV-enabled mobile edge computing
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …
Joint task offloading, resource allocation, and load-balancing optimization in multi-uav-aided mec systems
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks
face significant challenges in executing delay-sensitive and computation-intensive mobile …
face significant challenges in executing delay-sensitive and computation-intensive mobile …
[HTML][HTML] UAV-assisted cooperative offloading energy efficiency system for mobile edge computing
XY Yu, WJ Niu, Y Zhu, HB Zhu - Digital Communications and Networks, 2022 - Elsevier
Reliable communication and intensive computing power cannot be provided effectively by
temporary hot spots in disaster areas and complex terrain ground infrastructure. Mitigating …
temporary hot spots in disaster areas and complex terrain ground infrastructure. Mitigating …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
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 …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Distributed deep learning-based task offloading for UAV-enabled mobile edge computing
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …
offer computational capabilities to the resource-constraints end-users. In this paper, we …
Task offloading and trajectory scheduling for UAV-enabled MEC networks: An optimal transport theory perspective
In this letter, we propose a task offloading framework for UAV-enabled MEC networks, where
all smart mobile devices are scattered randomly following an arbitrary distribution. By …
all smart mobile devices are scattered randomly following an arbitrary distribution. By …
DRL-based energy-efficient trajectory planning, computation offloading, and charging scheduling in UAV-MEC network
Q Wei, Z Zhou, X Chen - 2022 IEEE/CIC International …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) is intro-duced into mobile edge computing (MEC)
system to help process large-scale task data generated by distributed user devices (UDs). In …
system to help process large-scale task data generated by distributed user devices (UDs). In …
Multi-UAV-assisted MEC system: Joint association and resource management framework
In this paper, we study an energy-efficient multi-UAV-assisted multi-access edge computing
(MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer …
(MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer …
A Joint Trajectory and Computation Offloading Scheme for UAV-MEC Networks via Multi-Agent Deep Reinforcement Learning
Unmanned Aerial Vehicle (UAV)-assisted mobile edge computing (MEC) has emerged as a
promising solution to support the computation-intensive tasks in the Internet of Things (IoT) …
promising solution to support the computation-intensive tasks in the Internet of Things (IoT) …