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 …
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 …
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 …
Fairness-based 3D multi-UAV trajectory optimization in multi-UAV-assisted MEC system
Unmanned aerial vehicles (UAVs)-assisted mobile-edge computing (MEC) communication
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
system has recently gained increasing attention. In this article, we investigate a 3-D multi …
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 …
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 …
Game combined multi-agent reinforcement learning approach for UAV assisted offloading
Air ground integrated mobile cloud computing (MCC) provides unmanned aerial vehicles
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …
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 …
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 …
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 …
相关搜索
- deep reinforcement learning
- reinforcement learning mobile edge
- multi-agent deep reinforcement
- reinforcement learning trajectory control
- reinforcement learning path planning
- reinforcement learning task offloading
- multi-uav trajectory optimization
- trajectory planning deep reinforcement
- mobile edge trajectory control
- mobile edge task offloading
- task offloading trajectory control