Optimizing UAV computation offloading via MEC with deep deterministic policy gradient
AB Abbasi, MU Hadi - Transactions on Emerging …, 2024 - Wiley Online Library
Mobile edge computing (MEC) seems to be highly efficient to process the generated data
from IoT devices by providing computational resources locating in close range to network …
from IoT devices by providing computational resources locating in close range to network …
UAV-enhanced intelligent offloading for Internet of Things at the edge
With the explosive growth of diverse Internet of Things (IoT) applications, mobile edge
computing (MEC) has been brought to settle the conflict between computation-intensive …
computing (MEC) has been brought to settle the conflict between computation-intensive …
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 …
An adaptive simulated annealing-based computational offloading scheme in UAV-assisted MEC networks
CK Hsu - Computer Communications, 2024 - Elsevier
Mobile edge computing (MEC) is an advanced technology that enables fifth-generation (5G)
applications. It uses a mechanism to offload computation from mobile devices (MDs) to edge …
applications. It uses a mechanism to offload computation from mobile devices (MDs) to edge …
Task offloading in UAV-aided edge computing: Bit allocation and trajectory optimization
The deployment of unmanned aerial vehicles (UAVs) in wireless communication systems
promises to provide services for devices with limited or without infrastructure coverage. With …
promises to provide services for devices with limited or without infrastructure coverage. With …
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 …
Computing over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has emerged to
support computation-intensive tasks in 6G systems. Since the battery capacity of a UAV is …
support computation-intensive tasks in 6G systems. Since the battery capacity of a UAV is …
Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach
Abstract Unmanned Aerial Vehicle (UAV) can play an important role in wireless systems as it
can be deployed flexibly to help improve coverage and quality of communication. In this …
can be deployed flexibly to help improve coverage and quality of communication. In this …
Q‐learning based computation offloading for multi‐UAV‐enabled cloud‐edge computing networks
Unmanned aerial vehicles (UAVs) have been recently considered as a flying platform to
provide wide coverage and relaying services for mobile users (MUs). Mobile edge …
provide wide coverage and relaying services for mobile users (MUs). Mobile edge …
[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 …