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Cooperative multi-agent deep reinforcement learning methods for uav-aided mobile edge computing networks
This article presents a cooperative multiagent deep reinforcement learning (MADRL)
approach for unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) …
approach for unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) …
Task offloading and trajectory scheduling for UAV-enabled MEC networks: An MADRL algorithm with prioritized experience replay
As a new network architecture, the air-ground cooperative network is a support for future 6G
network to achieve ubiquitous connectivities. To effectively relieve the computational …
network to achieve ubiquitous connectivities. To effectively relieve the computational …
Decentralized Learning Framework for Hierarchical Wireless Networks: A Tree Neural Network Approach
This article presents a flexible deep-learning strategy that tackles decentralized optimization
tasks in multitier networks where wireless nodes are deployed in a hierarchical structure …
tasks in multitier networks where wireless nodes are deployed in a hierarchical structure …
A Spiking Reinforcement Trajectory Planning for UAV-Assisted MEC Systems
Z ** the future landscape of intelligent wireless networks. However, the deployment …
MATD3-Based Joint User Association and Resource Allocation in UAV Networks
In recent years, mobile edge computing (MEC) has been proposed as a promising
technique to alleviate the challenges faced by delay and computation-intensive applications …
technique to alleviate the challenges faced by delay and computation-intensive applications …
Cognitive UAV-IRS planning for semantic-aware mobile edge computing networks
X Chen, R Ma - Physical Communication, 2025 - Elsevier
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks offer a
powerful solution for enhancing communication efficiency in resource-constrained …
powerful solution for enhancing communication efficiency in resource-constrained …
Intelligent UAV planning for task-offloading with limited buffer and multiple computing servers
X Chen, R Ma - Physical Communication, 2024 - Elsevier
Abstract Dynamically moving Unmanned Aerial Vehicles (UAVs) have emerged as an
effective means to significantly enhance the flexibility and transmission performance of …
effective means to significantly enhance the flexibility and transmission performance of …
Priority-Aware Task Offloading in UAV-Assisted Vehicular Network Via Deep Reinforcement Learning
J Liao, X Chen, L Jiao, Y Wang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has been regarded as a promising mechanism that can
increase the computational capacity of vehicles to support the execution of tasks with …
increase the computational capacity of vehicles to support the execution of tasks with …