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 …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
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 …
Joint computation offloading and trajectory planning for UAV-assisted edge computing
With excellent flexibility, unmanned aerial vehicles (UAVs) can act as airborne computing
servers to assist smart terminals (STs) with their computationally-intense and delay-sensitive …
servers to assist smart terminals (STs) with their computationally-intense and delay-sensitive …
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 …
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 …
Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …
A PDDQNLP algorithm for energy efficient computation offloading in UAV-assisted MEC
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is a promising
technology to provide computational services to ground terminal devices (TDs) in remote …
technology to provide computational services to ground terminal devices (TDs) in remote …
[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …
support of human activities, such as target tracking, disaster rescue, and surveillance …
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 …