[PDF][PDF] Towards Optimal Resource Allocation: A Multi-agent DRL based Task Offloading Approach in Multi-UAV-Assisted MEC Networks

S MEMON - researchgate.net
The application of UAV-aided MEC well-suited for the execution of the data-intensive and
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …

Towards Optimal Resource Allocation: A Multi-agent DRL based Task Offloading Approach in Multi-UAV-Assisted MEC Networks

MN Tariq, J Wang, S Raza, M Siraj, M Altamimi… - IEEE …, 2024 - ieeexplore.ieee.org
The application of UAV-aided MEC well-suited for the execution of the data-intensive and
latency-sensitive tasks in the infrastructure-deprived regions. However, the growing number …

Multi-Agent Collaborative Optimization of UAV Trajectory and Latency-Aware DAG Task Offloading in UAV-Assisted MEC

C Zheng, K Pan, J Dong, L Chen, Q Guo, S Wu… - IEEE …, 2024 - ieeexplore.ieee.org
The domain of UAV-assisted Multi-Access Edge Computing (MEC) emerges as a novel
frontier, characterized by the seamless integration of edge computing capabilities with UAV …

[HTML][HTML] Joint task offloading, resource allocation, and load-balancing optimization in multi-UAV-aided MEC systems

IA Elgendy, S Meshoul, M Hammad - Applied Sciences, 2023 - mdpi.com
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks
face significant challenges in executing delay-sensitive and computation-intensive mobile …

Robust computation offloading and trajectory optimization for multi-UAV-assisted MEC: A multi-agent DRL approach

B Li, R Yang, L Liu, J Wang, N Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
For multiple unmanned-aerial-vehicles (UAVs)-assisted mobile-edge computing (MEC)
networks, we study the problem of combined computation and communication for user …

A deep learning approach for task offloading in multi-UAV aided mobile edge computing

MA Ebrahim, GA Ebrahim, HK Mohamed… - IEEE …, 2022 - ieeexplore.ieee.org
Computation offloading has proven to be an effective method for facilitating resource-
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …

Computation offloading over multi-UAV MEC network: A distributed deep reinforcement learning approach

D Wei, J Ma, L Luo, Y Wang, L He, X Li - Computer Networks, 2021 - Elsevier
Unmanned aerial vehicle (UAV)-assisted computation offloading allows mobile devices
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …

Task offloading and trajectory scheduling for UAV-enabled MEC networks: An MADRL algorithm with prioritized experience replay

H Shi, Y Tian, H Li, J Huang, L Shi, Y Zhou - Ad Hoc Networks, 2024 - Elsevier
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 …

Energy-Efficient Task Offloading in UAV-Enabled MEC via Multi-agent Reinforcement Learning

J Gao, J Zhang, X Xu, L Qi, Y Yuan, Z Li… - … Conference on Green …, 2023 - Springer
Nowadays, artificial intelligence-based tasks are imposing increasing demands on
computation resources and energy consumption. Unmanned aerial vehicles (UAVs) are …

DRL-based task offloading and resource allocation in multi-UAV-MEC network with SDN

D Sha, R Zhao - 2021 IEEE/CIC International Conference on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is applied to 5G communication to meet the needs of large-
scale data communication. Unmanned aerial vehicle (UAV) can be used as air base station …