A survey of next-generation computing technologies in space-air-ground integrated networks

Z Shen, J Jin, C Tan, A Tagami, S Wang, Q Li… - ACM Computing …, 2023 - dl.acm.org
Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - Remote Sensing, 2024 - mdpi.com
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …

Pilot: High-precision indoor localization for autonomous drones

A Famili, A Stavrou, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the
capability of autonomous flight to carry out their missions successfully. In order to fly …

Intelligent reflecting surface backscatter enabled multi-tier computing for 6G internet of things

S Xu, J Liu, N Kato, Y Du - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
This paper investigates a novel framework of intelligent reflecting surface (IRS) backscatter
enabled multi-tier computing system. In such a hierarchical network, the data bits of …

Beamforming design and trajectory optimization for UAV-empowered adaptable integrated sensing and communication

C Deng, X Fang, X Wang - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has high flexibility and controllable mobility, therefore it is
considered as a promising enabler for future integrated sensing and communication (ISAC) …

RF-UAVNet: High-performance convolutional network for RF-based drone surveillance systems

T Huynh-The, QV Pham, TV Nguyen… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen
from the emergence of cutting-edge technologies deployed in small and low-cost devices …

Traffic analysis through deep-learning-based image segmentation from UAV streaming

I Bisio, C Garibotto, H Haleem… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …

Time–frequency multiscale convolutional neural network for RF-based drone detection and identification

S Mandal, U Satija - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
Due to recent technological advancements and significant decreases in their costs, drones
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …

Feasibility study of UAV-assisted anti-jamming positioning

Z Wang, R Liu, Q Liu, L Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As the cost and technical difficulty of jamming devices continue to decrease, jamming has
become one of the major threats to positioning service. Unfortunately, most conventional …

iDROP: Robust localization for indoor navigation of drones with optimized beacon placement

A Famili, A Stavrou, H Wang… - IEEE internet of things …, 2023 - ieeexplore.ieee.org
Drones in many applications need the ability to fly fully or partially autonomously to
accomplish their mission. To allow these fully/partially autonomous flights, first, the drone …