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 …

Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning

F Yu, D Yang, F Wu, Y Wang, H He - Physical Communication, 2023 - Elsevier
Computational efficiency is a direction worth considering in moving edge computing (MEC)
systems. However, the computational efficiency of UAV-assisted MEC systems is rarely …

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 …

Optimal computation offloading in edge-assisted UAV systems

D Callegaro, M Levorato - 2018 IEEE Global Communications …, 2018 - ieeexplore.ieee.org
The ability of Unmanned Aerial Vehicles (UAV) to autonomously operate is constrained by
the severe limitations of on-board resources. The limited processing speed and energy …

UAV-enabled mobile-edge computing for AI applications: Joint model decision, resource allocation, and trajectory optimization

C Deng, X Fang, X Wang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Due to the flexible mobility and agility, unmanned aerial vehicles (UAVs) are expected to be
deployed as aerial base stations (BSs) in future air–ground-integrated wireless networks …

Outage probability analysis for uav-aided mobile edge computing networks

J Liu, Y Zhang, J Wang, T Cui, L Zhang, C Li, K Chen… - 2022 - repository.kaust.edu.sa
This paper studies one typical mobile edge computing (MEC) system, where a single user
has some intensively calculating tasks to be computed by M edge nodes (ENs) with much …

Multi-agent deep reinforcement learning based UAV trajectory optimization for differentiated services

Z Ning, Y Yang, X Wang, Q Song, L Guo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driven by the increasing computational demand of real-time mobile applications, Unmanned
Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as …

Distributed computation offloading and trajectory optimization in multi-UAV-enabled edge computing

X Chen, Y Bi, G Han, D Zhang, M Liu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) technology has expanded network space by interconnected
devices, which has been widely used in various fields, such as environmental monitoring …

Joint uav deployment and task offloading scheme for multi-uav-assisted edge computing

F Li, J Luo, Y Qiao, Y Li - Drones, 2023 - mdpi.com
With the development of the Internet of Things (IoT), IoT devices are increasingly being
deployed in scenarios with large footprints, remote locations, and complex geographic …

Joint task and resource allocation in SDN-based UAV-assisted cellular networks

Y Zhu, S Wang, X Liu, H Tong… - 2020 IEEE/CIC …, 2020 - ieeexplore.ieee.org
In this paper, we study the problem of minimizing the weighted sum of the delay and energy
consumption for task computation and transmission in an unmanned aerial vehicle (UAV) …