Seven defining features of terahertz (THz) wireless systems: A fellowship of communication and sensing

C Chaccour, MN Soorki, W Saad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless communication at the terahertz (THz) frequency bands (0.1–10 THz) is viewed as
one of the cornerstones of tomorrow's 6G wireless systems. Owing to the large amount of …

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 …

Embedded sensors, communication technologies, computing platforms and machine learning for UAVs: A review

AN Wilson, A Kumar, A Jha… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are increasingly becoming popular due to their use in
many commercial and military applications, and their affordability. The UAVs are equipped …

Generative ai for physical layer communications: A survey

N Van Huynh, J Wang, H Du, DT Hoang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

F Pasandideh, JPJ Costa, R Kunst… - Journal of Field …, 2023 - Wiley Online Library
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …

THz channel sounding and modeling techniques: An overview

A Ghosh, M Kim - IEEE Access, 2023 - ieeexplore.ieee.org
As the world warms up to the idea of millimeter wave (mmWave) communication and fifth
generation (5G) mobile networks, realization slowly dawns that the data rate, latency …

Machine learning in NextG networks via generative adversarial networks

E Ayanoglu, K Davaslioglu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have
the ability to address competitive resource allocation problems together with detection and …

Distributed conditional generative adversarial networks (GANs) for data-driven millimeter wave communications in UAV networks

Q Zhang, A Ferdowsi, W Saad… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, a novel framework is proposed to perform data-driven air-to-ground channel
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …

Generative ai for advanced uav networking

G Sun, W Xie, D Niyato, H Du, J Kang, J Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
With the impressive achievements of chatGPT and Sora, generative artificial intelligence
(GAI) has received increasing attention. Not limited to the field of content generation, GAI is …

Private Knowledge Sharing in Distributed Learning: A Survey

Y Supeksala, DC Nguyen, M Ding… - arXiv preprint arXiv …, 2024 - arxiv.org
The rise of Artificial Intelligence (AI) has revolutionized numerous industries and transformed
the way society operates. Its widespread use has led to the distribution of AI and its …