Secure UAV (drone) and the great promise of AI

B Zolfaghari, M Abbasmollaei, F Hajizadeh… - ACM Computing …, 2024 - dl.acm.org
UAVs have found their applications in numerous applications from recreational activities to
business in addition to military and strategic fields. However, research on UAVs is not going …

Secure transmission for IRS-aided UAV-ISAC networks

J Zhang, J Xu, W Lu, N Zhao, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Integrated sensing and communication (ISAC), which can make full use of the wireless
platform and the spectrum for concurrent sensing and communication purposes, is emerging …

Joint offloading and resource allocation for hybrid cloud and edge computing in SAGINs: A decision assisted hybrid action space deep reinforcement learning …

C Huang, G Chen, P **ao, Y **ao, Z Han… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
In recent years, the amalgamation of satellite communications and aerial platforms into
space-air-ground integrated network (SAGINs) has emerged as an indispensable area of …

[HTML][HTML] Blockchain-Facilitated Cybersecurity for Ubiquitous Internet of Things with Space–Air–Ground Integrated Networks: A Survey

W Zhao, S Yang, X Luo - Sensors, 2025 - mdpi.com
This article presents a systematic review on blockchain-facilitated cybersecurity solutions for
Internet of Things (IoT) devices in space–air–ground integrated networks (SAGIN). First, we …

SiamTADT: A Task-Aware Drone Tracker for Aerial Autonomous Vehicles

L Li, C Chen, X Yu, S Pang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
State-of-the-art (SOTA) drone trackers for aerial autonomous vehicles fail to regress small-
sized targets' bounding boxes and classify targets from intensive background interference in …

Communication-Efficient Federated Learning for UAV Networks with Knowledge Distillation and Transfer Learning

Y Li, C Wu, Z Du, L Zhong… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Federated learning (FL) in unmanned aerial ve-hicles (UAVs) networks demands
considerable communication resources to transfer model data between the central server …

[PDF][PDF] Multidimensional Swarm Flight Approach For Chasing Unauthorized UAVs Leveraging Asynchronous Deep Learning

TW Ban, KM Kang, BC Jung - arxiv preprint arxiv:2502.02689, 2025 - arxiv.org
Multidimensional Swarm Flight Approach For Chasing Unauthorized UAVs Leveraging
Asynchronous Deep Learning Page 1 SUBMITTED TO IEEE TRANSACTIONS ON …

Flexible FSO/RF Aerial Topology Reconstruction for High Network Throughput in Dynamic Atmosphere Condition

Z Niu, H Yang, Q Yao, B Wu, S Yin… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
With the advancement of aerial remote sensing, hybrid free space optical (FSO) and radio
frequency (RF) communication for networked flying platforms (NFPs) has emerged as a …

UAV Communication in Space–Air–Ground Integrated Networks (SAGINs): Technologies, Applications, and Challenges

P Zhang, S Chen, X Zheng, P Li, G Wang, R Wang… - Drones, 2025 - mdpi.com
With the continuous advancement of 6G technology, SAGINs provide seamless coverage
and efficient connectivity for future communications by integrating terrestrial, aerial, and …

A 35-dBm-Output-Power, 26-GHz-Bandwidth Power Amplifier for Space-Air-Ground Applications from C to Ka Band

Z Li, Y Wang, W Wang, W Sun… - 2024 IEEE MTT-S …, 2024 - ieeexplore.ieee.org
In this paper, a high-output power wideband power amplifier (PA) with straightforward
matching networks is proposed, demonstrating a seamless integration of active and passive …