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 …
Deep Reinforcement Learning Empowered Trajectory and Resource Allocation Optimization for UAV-Assisted MEC Systems
H Sun, M Chen, Y Pan, Y Cang… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
In this paper, we address the energy minimization problem for the UAV-assisted MEC
system under the long-term dynamic environment by jointly optimizing UAV trajectory …
system under the long-term dynamic environment by jointly optimizing UAV trajectory …
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 …
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 …
Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning
Due to their flexible deployment and movement capability, unmanned aerial vehicles (UAVs)
are being utilized as flying mobile edge computing (MEC) platforms, offering real-time …
are being utilized as flying mobile edge computing (MEC) platforms, offering real-time …
MARS: A DRL-based Multi-task Resource Scheduling Framework for UAV with IRS-assisted Mobile Edge Computing System
F Jiang, Y Peng, K Wang, L Dong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article studies a dynamic Mobile Edge Computing (MEC) system assisted by
Unmanned Aerial Vehicles (UAVs) and Intelligent Reflective Surfaces (IRSs). We propose a …
Unmanned Aerial Vehicles (UAVs) and Intelligent Reflective Surfaces (IRSs). We propose a …
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-Objective Deep Reinforcement Learning for Computation Offloading and Trajectory Control in UAV-Base Station Assisted MEC
H Huang, ZY Chai, BS Sun, HS Kang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) and base station jointly assisted multi-access edge
computing (UB-MEC) technology is a promising direction to provide flexible computing …
computing (UB-MEC) technology is a promising direction to provide flexible computing …
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV
Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) brings the on-
demand task computation services close to the user equipment (UE) by reducing the latency …
demand task computation services close to the user equipment (UE) by reducing the latency …
A multi-UAV assisted task offloading and path optimization for mobile edge computing via muti-agent deep reinforcement learning
T Ju, L Li, S Liu, Y Zhang - Journal of Network and Computer Applications, 2024 - Elsevier
To tackle task offloading and path planning challenges in multi-UAV-assisted mobile edge
computing, this paper proposes a task offloading and path optimization approach via muti …
computing, this paper proposes a task offloading and path optimization approach via muti …
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- trajectory optimization reinforcement learning
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- task offloading reinforcement learning
- resource allocation reinforcement learning
- trajectory control reinforcement learning