Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach
Abstract Unmanned Aerial Vehicle (UAV) can play an important role in wireless systems as it
can be deployed flexibly to help improve coverage and quality of communication. In this …
can be deployed flexibly to help improve coverage and quality of communication. In this …
Intelligent task offloading and collaborative computation in multi-UAV-enabled mobile edge computing
J Xia, P Wang, B Li, Z Fei - China Communications, 2022 - ieeexplore.ieee.org
This article establishes a three-tier mobile edge computing (MEC) network, which takes into
account the cooperation between unmanned aerial vehicles (UAVs). In this MEC network …
account the cooperation between unmanned aerial vehicles (UAVs). In this MEC network …
Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
Deep reinforcement learning for multi-hop offloading in UAV-assisted edge computing
In this article, we propose a unmanned aerial vehicle (UAV)-assisted multi-hop edge
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
Path planning for UAV-mounted mobile edge computing with deep reinforcement learning
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 …
network, where the UAV executes computational tasks offloaded from mobile terminal users …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Joint trajectory planning, application placement, and energy renewal for UAV-assisted MEC: A triple-learner-based approach
In this article, an energy-efficient scheduling problem for multiple unmanned aerial vehicle
(UAV)-assisted mobile-edge computing (MEC) is studied. In the considered model, UAVs act …
(UAV)-assisted mobile-edge computing (MEC) is studied. In the considered model, UAVs act …
Learning-based computation offloading approaches in UAVs-assisted edge computing
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …
more computing and storage resources, leading to the vision of UAVs-assisted edge …
Distributed deep learning-based task offloading for UAV-enabled mobile edge computing
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …
offer computational capabilities to the resource-constraints end-users. In this paper, we …