A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

F Pasandideh, JPJ Costa, R Kunst… - Journal of Field …, 2023 - Wiley Online Library
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …

[HTML][HTML] Trajectory optimization for UAV-assisted relay over 5G networks based on reinforcement learning framework

SMM Abohashish, RY Rizk, EI Elsedimy - EURASIP Journal on Wireless …, 2023 - Springer
With the integration of unmanned aerial vehicles (UAVs) into fifth generation (5G) networks,
UAVs are used in many applications since they enhance coverage and capacity. To …

Joint device scheduling and bandwidth allocation for federated learning over wireless networks

T Zhang, KY Lam, J Zhao, J Feng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) has been widely used to train shared machine learning models
while addressing the privacy concerns. When deployed in wireless networks, bandwidth …

Cooperative resource allocation for computation-intensive IIoT applications in aerial computing

J Liu, G Li, Q Huang, M Bilal, X Xu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) will be a vital part of the massive Industrial Internet of
Things (IIoT) in the 5G and 6G paradigms. The UAVs are required to collaborate with each …

Digital forensics challenges and readiness for 6G Internet of Things (IoT) networks

AO Akinbi - Wiley Interdisciplinary Reviews: Forensic Science, 2023 - Wiley Online Library
The development of sixth‐generation (6G) wireless communication technology is expected
to provide super high‐speed data transmission, and advanced network performance than …

Holistic resource management in UAV-assisted wireless networks: An optimization perspective

S Taimoor, L Ferdouse, W Ejaz - Journal of Network and Computer …, 2022 - Elsevier
Unmanned aerial vehicles (UAVs) are considered as a promising solution to assist terrestrial
networks in future wireless networks (ie, beyond fifth-generation (B5G) and sixth-generation …

Energy-efficient coverage and capacity enhancement with intelligent UAV-BSs deployment in 6G edge networks

P Yu, Y Ding, Z Li, J Tian, J Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the development of 5G/6G networks, the number of wireless users is growing
exponentially, and the application scenarios are increasingly diversified. Using unmanned …

[PDF][PDF] Utilizing Deep Reinforcement Learning to Control UAV Movement for Environmental Monitoring

TN Nguyen, TB Nguyen, T Van Chien… - International Journal of …, 2023 - ijeetc.com
Unmanned aerial vehicles (UAVs) are increasingly used in various applications, including
infrastructure inspection, traffic monitoring, remote sensing, mapping, and rescue. However …

Deep reinforcement learning based uav-assisted maritime network computation offloading strategy

S Zhou, S Fei, Y Feng - 2022 IEEE/CIC International …, 2022 - ieeexplore.ieee.org
As maritime activities become more frequent, many computationally intensive applications
have emerged. Unmanned aerial vehicles (UAVs) can be utilized to provide computing …

Ubiquitous and Robust UxV Networks: Overviews, Solutions, Challenges, and Opportunities

Z Li, G Min, P Ren, C Luo, L Zhao, C Luo - IEEE Network, 2024 - ieeexplore.ieee.org
Empowered by their exceptional versatility and autonomy, unmanned vehicles (UxVs),
including ground, aerial, surface and underwater vehicles, are emerging as promising tools …