Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Enhancing autonomous system security and resilience with generative AI: A comprehensive survey
M Andreoni, WT Lunardi, G Lawton, S Thakkar - IEEE Access, 2024 - ieeexplore.ieee.org
This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in
enhancing the trustworthiness, reliability, and security of autonomous systems such as …
enhancing the trustworthiness, reliability, and security of autonomous systems such as …
Generative AI for space-air-ground integrated networks
Recently, generative AI technologies have emerged as significant advancements in the
artificial intelligence field, renowned for their language and image generation capabilities …
artificial intelligence field, renowned for their language and image generation capabilities …
3D UAV path planning in unknown environment: A transfer reinforcement learning method based on low-rank adaption
L Bo, T Zhang, H Zhang, J Hong, M Liu, C Zhang… - Advanced Engineering …, 2024 - Elsevier
The increasing number of application scenarios necessitate unmanned aerial vehicles to
possess the capability of autonomous obstacle avoidance and navigation in unknown …
possess the capability of autonomous obstacle avoidance and navigation in unknown …
Generative AI for space-air-ground integrated networks (SAGIN)
Recently, generative AI technologies have emerged as a significant advancement in artificial
intelligence field, renowned for their language and image generation capabilities. Meantime …
intelligence field, renowned for their language and image generation capabilities. Meantime …
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 …
from traditional to advanced, in its application and integration into unmanned aerial vehicle …
[HTML][HTML] Utilizing UAVs in wireless networks: advantages, challenges, objectives, and solution methods
Unmanned aerial vehicles (UAVs) have emerged as a promising technology to enhance the
performance and functionality of mobile networks. UAVs can act as flying base stations …
performance and functionality of mobile networks. UAVs can act as flying base stations …
A Deep-NN Beamforming Approach for Dual Function Radar-Communication THz UAV
In this paper, we consider a scenario with one UAV equipped with a ULA, which sends
combined information and sensing signals to communicate with multiple GBS and, at the …
combined information and sensing signals to communicate with multiple GBS and, at the …
3D smooth trajectory planning for UAVs under navigation relayed by multiple stations using Bezier curves
M Qi, L Dou, B Xin - Electronics, 2023 - mdpi.com
Navigation relayed by multiple stations (NRMS) is a promising technique that can
significantly extend the operational range of unmanned aerial vehicles (UAVs) and hence …
significantly extend the operational range of unmanned aerial vehicles (UAVs) and hence …
Managing sets of flying base stations using energy efficient 3D trajectory planning in cellular networks
Unmanned aerial vehicles (UAVs) in cellular networks have garnered considerable interest.
One of their applications is as flying base stations (FBSs), which can increase coverage and …
One of their applications is as flying base stations (FBSs), which can increase coverage and …