Service Placement and Trajectory Design for Heterogeneous Tasks in Multi-UAV Edge Computing Networks
B Li, R Yang, L Liu, C Wu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In this paper, we consider deploying multiple Unmanned Aerial Vehicles (UAVs) to enhance
the computation service of Mobile Edge Computing (MEC) through collaborative …
the computation service of Mobile Edge Computing (MEC) through collaborative …
Service Placement and Trajectory Design for Heterogeneous Tasks in Multi-UAV Cooperative Computing Networks
B Li, R Yang, L Liu, C Wu - arXiv preprint arXiv:2408.01680, 2024 - arxiv.org
In this paper, we consider deploying multiple Unmanned Aerial Vehicles (UAVs) to enhance
the computation service of Mobile Edge Computing (MEC) through collaborative …
the computation service of Mobile Edge Computing (MEC) through collaborative …
Joint task offloading, resource allocation, and trajectory design for multi-uav cooperative edge computing with task priority
H Hao, C Xu, W Zhang, S Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as a solution to address the demands of
computation-intensive network services by providing computational capabilities at the …
computation-intensive network services by providing computational capabilities at the …
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 …
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 …
A Deep Reinforcement Learning Based Approach for Optimizing Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System
B Shi, Z Chen, Z Xu - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a technology that shows great promise in enhancing the
computational power of smart devices (SDs) in the Internet of Things (IoT). However, the …
computational power of smart devices (SDs) in the Internet of Things (IoT). However, the …
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) …
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 …
Computation Offloading Service in UAV-Assisted Mobile Edge Computing: A Soft Actor-Critic Approach
Y Zhang, Z Mao - 2023 International Conference on Ubiquitous …, 2023 - ieeexplore.ieee.org
This paper investigates a system where an unmanned aerial vehicle (UAV) provides
computing services to multiple mobile terminals. To optimize the computation offloading …
computing services to multiple mobile terminals. To optimize the computation offloading …
Utility-aware UAV deployment and task offloading in multi-UAV edge computing networks
Z Kuang, H Wang, J Li, F Hou - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile-edge computing (MEC) is expected to
provide low-latency, ultrareliable, and highly robust network services to improve user service …
provide low-latency, ultrareliable, and highly robust network services to improve user service …