Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Artificial intelligence for satellite communication and non-terrestrial networks: A survey

G Fontanesi, F Ortíz, E Lagunas, VM Baeza… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …

A comprehensive survey on applications of AI technologies to failure analysis of industrial systems

S Bi, C Wang, B Wu, S Hu, W Huang, W Ni… - Engineering Failure …, 2023 - Elsevier
Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

Optimized design for IRS-assisted integrated sensing and communication systems in clutter environments

C Liao, F Wang, VKN Lau - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we investigate an intelligent reflecting surface (IRS)-assisted integrated
sensing and communication (ISAC) system design in a clutter environment. Assisted by an …

UAV trajectory planning for disaster scenarios

S Javed, A Hassan, R Ahmad, W Ahmed… - Vehicular …, 2023 - Elsevier
Due to the unavailability of the traditional network in disaster scenarios, users are often
unable to communicate with the first responders. In this regard, Unmanned Aerial Vehicle …

Detection and mitigation of position spoofing attacks on cooperative uav swarm formations

S Bi, K Li, S Hu, W Ni, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a
swarm is challenging. Traditional methods relying solely on individually reported positions …

Effective UAV navigation for cellular-assisted radio sensing, imaging, and tracking

AV Savkin, W Ni, M Eskandari - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The paper develops a new cellular-assisted radio surveillance and tracking technique with
an Unmanned Aerial Vehicle (UAV) being the mobile receiver and a static cellular ground …

[HTML][HTML] Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network

X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques

C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

[HTML][HTML] A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks

A Krayani, K Khan, L Marcenaro, M Marchese… - Sensors, 2023 - mdpi.com
Deploying unmanned aerial vehicles (UAVs) as aerial base stations is an exceptional
approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and …