Cellular-connected multi-UAV MEC networks: An online stochastic optimization approach

Y Xu, T Zhang, Y Liu, D Yang, L Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we consider a mobile edge computing (MEC) network where multiple cellular-
connected unmanned aerial vehicles (UAVs) can offload their computation tasks to multiple …

Online trajectory and resource optimization for stochastic UAV-enabled MEC systems

Z Yang, S Bi, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The recent development of unmanned aerial vehicle (UAV) and mobile edge computing
(MEC) technologies provides flexible and resilient computation services to mobile users out …

Robust computation offloading and trajectory optimization for multi-uav-assisted mec: A multi-agent drl approach

B Li, R Yang, L Liu, J Wang, N Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
For multiple unmanned-aerial-vehicles (UAVs)-assisted mobile-edge computing (MEC)
networks, we study the problem of combined computation and communication for user …

Energy minimization for MEC-enabled cellular-connected UAV: Trajectory optimization and resource scheduling

Z Lv, J Hao, Y Guo - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
Recent years, under the cooperation of 5G techniques which enables high rate and low
delay communication, cellular-connected unmanned aerial vehicles (UAVs) have attracted …

Response delay optimization in mobile edge computing enabled UAV swarm

Q Zhang, J Chen, L Ji, Z Feng, Z Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be conveniently deployed for environmental
monitoring, firefighting, disaster rescue, and so on. However, the utmost challenge is how to …

Mobile edge computing for cellular-connected UAV: Computation offloading and trajectory optimization

X Cao, J Xu, R Zhang - 2018 IEEE 19th international workshop …, 2018 - ieeexplore.ieee.org
This paper studies a new mobile edge computing (MEC) setup where an unmanned aerial
vehicle (UAV) is served by cellular ground base stations (GBSs) for computation offloading …

Energy and latency efficient joint communication and computation optimization in a multi-uav assisted mec network

F Pervez, A Sultana, C Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a
prominent strategy where a UAV equipped with an MEC server is deployed to serve terminal …

Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems

Z Hu, F Zeng, Z Xiao, B Fu, H Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the
network, it is likely to cause severe propagation loss between the edge server and users …

Path planning for UAV-mounted mobile edge computing with deep reinforcement learning

Q Liu, L Shi, L Sun, J Li, M Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing
network, where the UAV executes computational tasks offloaded from mobile terminal users …

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 …