Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence

Q Wu, J Xu, Y Zeng, DWK Ng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …

[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing

SMA Huda, S Moh - Journal of Network and Computer Applications, 2022 - Elsevier
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …

Secure NOMA-based UAV-MEC network towards a flying eavesdropper

W Lu, Y Ding, Y Gao, Y Chen, N Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) allows multiple users to share link resource for
higher spectrum efficiency. It can be applied to unmanned aerial vehicle (UAV) and mobile …

Reconfigurable intelligent surface-assisted secure mobile edge computing networks

S Mao, L Liu, N Zhang, M Dong, J Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been recognized as a viable technology to satisfy low-
delay computation requirements for resource-constrained Internet of things (IoT) devices …

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 …

Completion time and energy optimization in the UAV-enabled mobile-edge computing system

C Zhan, H Hu, X Sui, Z Liu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Completion time and energy consumption of the unmanned aerial vehicle (UAV) are two
important design aspects in UAV-enabled applications. In this article, we consider a UAV …

The drone scheduling problem: A systematic state-of-the-art review

J Pasha, Z Elmi, S Purkayastha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …

UAV-LEO integrated backbone: A ubiquitous data collection approach for B5G internet of remote things networks

T Ma, H Zhou, B Qian, N Cheng, X Shen… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
With the advance of unmanned aerial vehicles (UAVs) and low earth orbit (LEO) satellites,
the integration of space, air and ground networks has become a potential solution to the …

Energy-efficient resource management in UAV-assisted mobile edge computing

YK Tun, YM Park, NH Tran, W Saad… - IEEE …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been deployed to enhance the network capacity
and provide services to mobile users with or without infrastructure coverage. At the same …