Ray tracing analysis for UAV-assisted integrated access and backhaul millimeter wave networks

A Perez, A Fouda, AS Ibrahim - … on" A World of Wireless, Mobile …, 2019 - ieeexplore.ieee.org
The use of Millimeter-wave (mmWave) spectrum in cellular communications has recently
attracted growing interest to support the expected massive increase in traffic demands …

Deep learning-assisted secure UAV-relaying networks with channel uncertainties

X Tang, N Liu, R Zhang, Z Han - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play a critical role for 5 G/B5G communications. In this
paper, we investigate the physical layer security issue for ground transmissions with the help …

Analytical channel models for millimeter wave UAV networks under hovering fluctuations

MT Dabiri, H Safi, S Parsaeefard… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The integration of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave)
wireless systems has been recently proposed to provide high data rate aerial links for next …

Intelligent and Robust UAV-Aided Multiuser RIS Communication Technique With Jittering UAV and Imperfect Hardware Constraints

ABM Adam, X Wan, MAM Elhassan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we investigate unmanned aerial vehicle (UAV)-aided multiuser reconfigurable
intelligent surface (RIS) communication for next generation communication networks. We …

Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels

H Ye, L Liang, GY Li, BH Juang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we develop an end-to-end wireless communication system using deep neural
networks (DNNs), where DNNs are employed to perform several key functions, including …

Machine‐learning‐based prediction methods for path loss and delay spread in air‐to‐ground millimetre‐wave channels

G Yang, Y Zhang, Z He, J Wen, Z Ji… - … Microwaves, Antennas & …, 2019 - Wiley Online Library
The unmanned aerial vehicles (UAVs) have been widely applied in various fields due to
their advantages like high mobility and low cost. Reliable communication is the premise to …

[HTML][HTML] Gateway selection in millimeter wave UAV wireless networks using multi-player multi-armed bandit

EM Mohamed, S Hashima, A Aldosary, K Hatano… - Sensors, 2020 - mdpi.com
Recently, unmanned aerial vehicle (UAV)-based communications gained a lot of attention
due to their numerous applications, especially in rescue services in post-disaster areas …

Position prediction based fast beam tracking scheme for multi-user UAV-mmWave communications

Y Ke, H Gao, W Xu, L Li, L Guo… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) millimeter-wave (mmWave) communication is emerging as
a promising technique for future networks with flexible network topology and ultra-high data …

Characterization of the global bias problem in aerial federated learning

R Zhagypar, N Kouzayha, H ElSawy… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …

A UAV air-to-ground channel estimation algorithm based on deep learning

Z Mai, Y Chen, H Zhao, L Du, C Hao - Wireless Personal Communications, 2022 - Springer
Abstract Unmanned Aerial Vehicles (UAVs) with mobility and flexibility enhance wireless
transmission performance in various mobile communication scenarios by acting as a mobile …