Joint UAV placement optimization, resource allocation, and computation offloading for THz band: A DRL approach
H Wang, H Zhang, X Liu, K Long… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of internet of things, latency-sensitive applications such as
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …
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 …
Optimizing the operation cost for UAV-aided mobile edge computing
Mobile edge computing (MEC) is leveraged to reduce the latency for the computation-
intensive and latency-critical tasks offloaded from wireless devices and Internet of Things …
intensive and latency-critical tasks offloaded from wireless devices and Internet of Things …
Cellular-connected UAV trajectory design with connectivity constraint: A deep reinforcement learning approach
Cellular-connected unmanned aerial vehicle (UAV) communication has attracted
increasingly attention recently. We consider a cellular-connected UAV carried with limited on …
increasingly attention recently. We consider a cellular-connected UAV carried with limited on …
An actor-critic-based UAV-BSs deployment method for dynamic environments
In this paper, the real-time deployment of unmanned aerial vehicles (UAVs) as flying base
stations (BSs) for optimizing the throughput of mobile users is investigated for UAV networks …
stations (BSs) for optimizing the throughput of mobile users is investigated for UAV networks …
Utility-Aware UAV Deployment and Task Offloading in Multi-UAV Edge Computing Networks
Z Kuang, H Wang, J Li, F Hou - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV)-enabled Mobile Edge Computing (MEC) is expected to
provide low-latency, ultra-reliable, and highly robust network services to improve user …
provide low-latency, ultra-reliable, and highly robust network services to improve user …
A DRL Strategy for Optimal Resource Allocation Along With 3D Trajectory Dynamics in UAV-MEC Network
Advances in Unmanned Air Vehicle (UAV) technology have paved a way for numerous
configurations and applications in communication systems. However, UAV dynamics play an …
configurations and applications in communication systems. However, UAV dynamics play an …
Joint location, bandwidth and power optimization for THz-enabled UAV communications
In this letter, the problem of unmanned aerial vehicle (UAV) deployment, power allocation,
and bandwidth allocation is investigated for a UAV-assisted wireless system operating at …
and bandwidth allocation is investigated for a UAV-assisted wireless system operating at …
Service provisioning for UAV-enabled mobile edge computing
Unmanned aerial vehicle (UAV)-enabled mobile edge computing has been recognized as a
promising technology to flexibly and efficiently handle computation-intensive and latency …
promising technology to flexibly and efficiently handle computation-intensive and latency …
Three-dimension trajectory design for multi-UAV wireless network with deep reinforcement learning
The effective trajectory design of multiple unmanned aerial vehicles (UAVs) is investigated
for improving the capacity of the communication system. The aim is for maximizing real-time …
for improving the capacity of the communication system. The aim is for maximizing real-time …