Priority Scheduling Strategy for Reduced Energy Consumption in UAV-Aided 6G Green Mobile Edge Computing

W Zhu, X Chen, L Jiao, G Min… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the gradual development of unmanned aerial vehicles (UAV) related disciplines such
as mechanics, electronics and wireless communication. UAV technology is an important …

[HTML][HTML] Energy-efficient uav-enabled mec system: Bits allocation optimization and trajectory design

L Li, X Wen, Z Lu, Q Pan, W Jing, Z Hu - Sensors, 2019 - mdpi.com
The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) system is
attracting a lot of attentions for the potential of low latency and low transmission energy …

Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems

H Yuan, M Wang, J Bi, J Zhang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Current mobile edge computing (MEC) owns cloud resources at the network edge, which
enables low-latency mobile services. In addition to fixed MEC servers, MEC proxy servers …

Resource allocation for multi‐UAV‐assisted mobile edge computing to minimize weighted energy consumption

A Li, L Dai, L Yu - IET Communications, 2022 - Wiley Online Library
This paper studies a multi‐unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) system, where multiple UAVs equipped with MEC server are deployed to provide …

Joint resource allocation and trajectory optimization for multi-UAV-assisted multi-access mobile edge computing

X Qin, Z Song, Y Hao, X Sun - IEEE Wireless Communications …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has been
considered as a promising approach to offering extensive coverage and massive computing …

Joint optimization of trajectory and resource allocation in cellular-connected multi-UAV MEC networks

J Xue, T Zhang, F Shao, J Yao, X Xu - Physical Communication, 2023 - Elsevier
Unmanned aerial vehicles (UAVs)-based mobile edge computing (MEC) has been
introduced as a promising model for enhanced edge communications in the future of …

Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing

Y Zhang, Y Gong, Y Guo - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely utilized to expand wireless network
coverage and provide computation service for Internet-of-Things (IoT) devices in signal …

Towards energy-efficient scheduling of UAV and base station hybrid enabled mobile edge computing

B Dai, J Niu, T Ren, Z Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been considered as a promising paradigm to support the
growing popularity of mobile devices (MDs) with similar capabilities as cloud computing …

Energy efficient for UAV-enabled mobile edge computing networks: Intelligent task prediction and offloading

G Wu, Y Miao, Y Zhang, A Barnawi - Computer Communications, 2020 - Elsevier
Mobile edge computing (MEC) network provides near-users computing and communication
functions and has become a potential 5G evolutionary architecture. In order to overcome the …

Energy-efficient resource allocation for UAV-empowered mobile edge computing system

Y Cheng, Y Liao, X Zhai - … on Utility and Cloud Computing (UCC …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been gained significant attention from mobile
network operators (MNOs) to provision low-latency wireless big data applications, where a …