Mobile edge computing via a UAV-mounted cloudlet: Optimization of bit allocation and path planning

S Jeong, O Simeone, J Kang - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been recently considered as means to provide
enhanced coverage or relaying services to mobile users (MUs) in wireless systems with …

Mobile cloud computing with a UAV‐mounted cloudlet: optimal bit allocation for communication and computation

S Jeong, O Simeone, J Kang - Iet Communications, 2017 - Wiley Online Library
Mobile cloud computing relieves the tension between computation‐intensive mobile
applications and battery‐constrained mobile devices by enabling the offloading of …

Energy consumption minimization in UAV-assisted mobile-edge computing systems: Joint resource allocation and trajectory design

J Ji, K Zhu, C Yi, D Niyato - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been introduced into wireless communication
systems to provide high-quality services and enhanced coverage due to their high mobility …

Joint offloading and trajectory design for UAV-enabled mobile edge computing systems

Q Hu, Y Cai, G Yu, Z Qin, M Zhao… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been considered in wireless communication
systems to provide high-quality services for their low cost and high maneuverability. This …

Energy optimization for cellular-connected multi-UAV mobile edge computing systems with multi-access schemes

M Hua, Y Huang, Y Wang, Q Wu… - Journal of …, 2018 - ieeexplore.ieee.org
In this paper, a cellular-connected unmanned aerial vehicle (UAV) mobile edge computing
system is studied where several UAVs are associated to a terrestrial base station (TBS) for …

Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization

M Li, N Cheng, J Gao, Y Wang, L Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …

Task offloading in UAV-aided edge computing: Bit allocation and trajectory optimization

J Xiong, H Guo, J Liu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
The deployment of unmanned aerial vehicles (UAVs) in wireless communication systems
promises to provide services for devices with limited or without infrastructure coverage. With …

An UAV-assisted mobile edge computing offloading strategy for minimizing energy consumption

Q Tang, L Liu, C Jin, J Wang, Z Liao, Y Luo - Computer Networks, 2022 - Elsevier
Owing to the high economic benefits, flexible deployment, and controllable maneuverability,
unmanned aerial vehicles (UAVs) have been envisioned as promising and potential …

Joint trajectory and computation offloading optimization for UAV-assisted MEC with NOMA

F Guo, H Zhang, H Ji, X Li… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) offer cost-effective services in wireless communication
with no or limited infrastructure. In this paper, a UAV-assisted mobile edge computing …

Collaboration in the sky: A distributed framework for task offloading and resource allocation in multi-access edge computing

YK Tun, TN Dang, K Kim, M Alsenwi… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs)-assisted multi-access edge computing (MEC)
systems emerged as a promising solution for providing computation services to mobile users …