Computation offloading over multi-UAV MEC network: A distributed deep reinforcement learning approach
Unmanned aerial vehicle (UAV)-assisted computation offloading allows mobile devices
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …
Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning
H Wang, H Ke, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …
delay-sensitive or require computation-intensive processing. Owing to computation ability …
Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications
The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …
the emergence of many latency-constrained and computation-intensive applications such as …
Deep reinforcement learning for computation offloading and resource allocation in unmanned-aerial-vehicle assisted edge computing
S Li, X Hu, Y Du - Sensors, 2021 - mdpi.com
Computation offloading technology extends cloud computing to the edge of the access
network close to users, bringing many benefits to terminal devices with limited battery and …
network close to users, bringing many benefits to terminal devices with limited battery and …
DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks
A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …
data and provide various services for all walks of life. However, limited computing capability …
Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing
X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …
important role in some complex environments such as mountainous and disaster areas …
Robust computation offloading and trajectory optimization for multi-UAV-assisted MEC: A multi-agent DRL approach
For multiple unmanned-aerial-vehicles (UAVs)-assisted mobile-edge computing (MEC)
networks, we study the problem of combined computation and communication for user …
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 …
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …
Learning-based computation offloading approaches in UAVs-assisted edge computing
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …
more computing and storage resources, leading to the vision of UAVs-assisted edge …
Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing
Traditional multi-access edge computing (MEC) often has difficulty processing large
amounts of data in the face of high computationally intensive tasks, so it needs to offload …
amounts of data in the face of high computationally intensive tasks, so it needs to offload …