Deep reinforcement learning based resource management in UAV-assisted IoT networks

YY Munaye, RT Juang, HP Lin, GB Tarekegn, DB Lin - Applied Sciences, 2021 - mdpi.com
The resource management in wireless networks with massive Internet of Things (IoT) users
is one of the most crucial issues for the advancement of fifth-generation networks. The main …

Secrecy outage performance of ground-to-air communications with multiple aerial eavesdroppers and its deep learning evaluation

T Bao, J Zhu, HC Yang… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we study the secure information transmission from a ground base station (GBS)
to a legitimate unmanned aerial vehicle (UAV) user, in the presence of multiple UAV …

Intelligent caching in UAV-aided networks

M Zhang, EIH Mohammed… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deployment of unmanned aerial vehicles (UAVs) as flying base stations to provide specific
geographical area with air-to-ground wireless communications is expected to increase …

Machine learning techniques for non-terrestrial networks

R Giuliano, E Innocenti - Electronics, 2023 - mdpi.com
Traditionally, non-terrestrial networks (NTNs) are used for a limited set of applications, such
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …

Detecting and correcting for human obstacles in BLE trilateration using artificial intelligence

S Naghdi, K O'Keefe - Sensors, 2020 - mdpi.com
One of the popular candidates in wireless technology for indoor positioning is Bluetooth Low
Energy (BLE). However, this technology faces challenges related to Received Signal …

UAV-assisted vehicular communication for densely crowded environments

O Bouachir, M Aloqaily, I Al Ridhawi… - NOMS 2020-2020 …, 2020 - ieeexplore.ieee.org
Connected and Autonomous Electric Vehicles (CAEVs) are becoming a feature of our roads
in the imminent future. This disruptive technology is likely to enhance the way we get around …

FlexEdge: Dynamic task scheduling for a UAV-based on-demand mobile edge server

H Sun, B Zhang, X Zhang, Y Yu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the large number of cameras deployed in smart industrial parks and smart campuses,
edge devices and location-fixed edge servers are deployed near to these cameras and help …

Wireless local area network technologies as communication solutions for unmanned surface vehicles

A Stateczny, K Gierlowski, M Hoeft - Sensors, 2022 - mdpi.com
As the number of research activities and practical deployments of unmanned vehicles has
shown a rapid growth, topics related to their communication with operator and external …

UAV-assisted wireless-powered two-way communications

G Park, K Heo, W Lee, K Lee - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In this paper, we investigate the optimal resource allocation in unmanned aerial vehicle
(UAV)-assisted wireless-powered two-way communications. The communication process …

Unsupervised machine learning in 6G networks-state-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis… - … on modern circuits …, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role for business, commercial, health
and safety applications. With the commercial deployment of fifth generation (5G), academic …