AoI-minimal clustering, transmission and trajectory co-design for UAV-assisted WPCNs
This paper investigates the long-term average age of information (AoI)-minimal problem in
an unmanned aerial vehicle (UAV)-assisted wireless-powered communication network …
an unmanned aerial vehicle (UAV)-assisted wireless-powered communication network …
[HTML][HTML] Resource management in 5G networks assisted by UAV base stations: Machine learning for overloaded Macrocell prediction based on users' temporal and …
The rapid growth of data traffic due to the demands of new services and applications poses
new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution …
new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution …
JO-TADP: learning-based cooperative dynamic resource allocation for MEC–UAV-enabled wireless network
Providing robust communication services to mobile users (MUs) is a challenging task due to
the dynamicity of MUs. Unmanned aerial vehicles (UAVs) and mobile edge computing …
the dynamicity of MUs. Unmanned aerial vehicles (UAVs) and mobile edge computing …
Transfer learning based GPS spoofing detection for cellular-connected UAVs
Unmanned Aerial Vehicles (UAVs) are set to become an integral part of 5G and beyond
systems with the promise of assisting cellular communications and enabling advanced …
systems with the promise of assisting cellular communications and enabling advanced …
A Deep Learning-Based Traffic Classification Method for 5G Aerial Computing Networks
C Chen, Z Liu, Y Yu, F **, W Han… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
With the rapid progress made in aerial computing technology and the increased popularity
of fifth-generation (5G) networks, Unmanned Aerial Vehicles (UAVs) have been playing a …
of fifth-generation (5G) networks, Unmanned Aerial Vehicles (UAVs) have been playing a …
[HTML][HTML] A quality of experience model for live video in first-person-view drone control in cellular networks
Several upcoming 5G and 6G services will rely on unmanned aerial vehicles (UAV) sending
live information to remote terminals. Thus, understanding the traffic flows that might influence …
live information to remote terminals. Thus, understanding the traffic flows that might influence …
Experimental Results of Utilizing the 3GPP LTE Positioning Protocol for Providing RTK Reference Data to High-Accuracy UAV Operations
This paper presents experimental results of utilizing the 3GPP standardized RTK
Observation State Representation (OSR). The work investigates the 3GPP LTE Positioning …
Observation State Representation (OSR). The work investigates the 3GPP LTE Positioning …
A scalable communication model to realize integrated access and backhaul (iab) in 5g
Our vision of the future world is one wherein everything, anywhere and at any time, can
reliably communicate in real time. 5G, the fifth generation of cellular networks, is anticipated …
reliably communicate in real time. 5G, the fifth generation of cellular networks, is anticipated …
An Accurate Beam-Tracking Algorithm with Adaptive Beam Reconstruction via UAV-BSs for Mobile Users
J Zhang, S Gao, X Feng, H Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) with flexible deployment contribute to enlarging the
distance of information transmission to mobile users (MUs) in constrained environment …
distance of information transmission to mobile users (MUs) in constrained environment …
Frisbee: An Efficient Data Sharing Framework for UAV Swarms
Nowadays, owing to the communication, computation, storage, networking, and sensing
abilities, the swarm of unmanned aerial vehicles (UAV) is highly anticipated to be helpful for …
abilities, the swarm of unmanned aerial vehicles (UAV) is highly anticipated to be helpful for …