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 …
Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …
proposed, where several UAVs having different trajectories fly over the target area and …
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 …
Priority-aware resource scheduling for UAV-mounted mobile edge computing networks
In this paper, we investigate the joint impact of task priority and mobile computing service on
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …
the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) …
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 …
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 …
Multi-UAV mobile edge computing and path planning platform based on reinforcement learning
Unmanned Aerial vehicles (UAVs) are widely used as network processors in mobile
networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile …
networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile …
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 …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Multi-agent deep reinforcement learning based UAV trajectory optimization for differentiated services
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 …
Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as …