A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence

Q Wu, J Xu, Y Zeng, DWK Ng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …

A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook

A Rovira-Sugranes, A Razi, F Afghah, J Chakareski - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a
new breed of unprecedented applications in different domains. This technology's ongoing …

6G enabled unmanned aerial vehicle traffic management: A perspective

R Shrestha, R Bajracharya, S Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) and UAV traffic management (UTM) have drawn attention
for applications such as parcel delivery, aerial mapping, agriculture, and surveillance based …

Precoder design for physical-layer security and authentication in massive MIMO UAV communications

SJ Maeng, Y Yapıcı, İ Güvenç… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Supporting reliable and seamless wireless connectivity for unmanned aerial vehicles
(UAVs) has recently become a critical requirement to enable various different use cases of …

Classifying UAVs with proprietary waveforms via preamble feature extraction and federated learning

G Reus-Muns, KR Chowdhury - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Small unmanned aerial vehicles (UAVs) are deployed in a number of different emerging
market segments as well as for recreational hobby flying. Driven by their ubiquitous …

Impact of 3D antenna radiation pattern in UAV air-to-ground path loss modeling and RSRP-based localization in rural area

SJ Maeng, H Kwon, O Ozdemir… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Ensuring reliable and seamless wireless connectivity for unmanned aerial vehicles (UAVs)
has emerged as a critical requirement for a wide range of applications. The increasing …

White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification

T Nadana Ravishankar, M Ramprasath, A Daniel… - Scientific Reports, 2023 - nature.com
Unmanned aerial vehicles (UAVs) become a promising enabler for the next generation of
wireless networks with the tremendous growth in electronics and communications. The …

DDPG learning for aerial RIS-assisted MU-MISO communications

AS Abdalla, V Marojevic - 2022 IEEE 33rd Annual International …, 2022 - ieeexplore.ieee.org
This paper defines the problem of optimizing the downlink multi-user multiple input, single
output (MU-MISO) sum-rate for ground users served by an aerial reconfigurable intelligent …

Digital twin-enabled domain adaptation for zero-touch UAV networks: Survey and challenges

M McManus, Y Cui, JZ Zhang, J Hu, SK Moorthy… - Computer Networks, 2023 - Elsevier
In existing wireless networks, the control programs have been designed manually and for
certain predefined scenarios. This process is complicated and error-prone, and the resulting …

AERIQ: SDR-based LTE I/Q measurement and analysis framework for air-to-ground propagation modeling

SJ Maeng, O Ozdemir, İ Güvenç… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In this paper, we introduce AERIQ: a software-defined radio (SDR) based I/Q measurement
and analysis framework for wireless signals for aerial experimentation. AERIQ is integrated …