[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …
performance has become a critical issue. Many services provided by IoT devices (eg …
Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
Deep reinforcement learning based resource allocation in multi-UAV-aided MEC networks
Resource allocation for mobile edge computing (MEC) in unmanned aerial vehicle (UAV)
networks has been a popular research issue. Different from existing works, this paper …
networks has been a popular research issue. Different from existing works, this paper …
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 …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
Intelligent resource allocation for edge-cloud collaborative networks: A hybrid DDPG-D3QN approach
To handle the ever-increasing IoT devices with computation-intensive and delay-critical
applications, it is imperative to leverage the collaborative potential of edge and cloud …
applications, it is imperative to leverage the collaborative potential of edge and cloud …
Joint resource and trajectory optimization for heterogeneous-UAVs enabled aerial-ground cooperative computing networks
The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) is a promising
paradigm for providing extensive coverage and additional computation services to the …
paradigm for providing extensive coverage and additional computation services to the …
A comprehensive survey on aerial mobile edge computing: Challenges, state-of-the-art, and future directions
Driven by the visions of Internet of Things (IoT), there is an ever-increasing demand for
computation resources of IoT users to support diverse applications. Mobile edge computing …
computation resources of IoT users to support diverse applications. Mobile edge computing …
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 …
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …
Multi-Access Edge Computing (MEC) Based on MIMO: A Survey
M Zhu, S Gao, G Tu, D Chen - Sensors, 2023 - mdpi.com
With the rapid development of wireless communication technology and the emergence of
intelligent applications, higher requirements have been put forward for data communication …
intelligent applications, higher requirements have been put forward for data communication …