Robust transmission scheduling for uav-assisted millimeter-wave train-ground communication system

Y Ma, Y Niu, Z Han, B Ai, K Li, Z Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the explosive growth of mobile data, the demand of high-speed railway (HSR)
passengers for broadband wireless access services urgently needs the support of ultra-high …

3D on-demand flying mobile communication for millimeter-wave heterogeneous networks

KT Feng, LH Shen, CY Li, PT Huang, SH Wu… - IEEE …, 2020 - ieeexplore.ieee.org
Millimeter wave (mmWave) technology achieving multi-gigabits speed plays a significant
role in beyond 5G and the next 6G wireless communication networks thanks to its huge …

Integrating LEO satellites and multi-UAV reinforcement learning for hybrid FSO/RF non-terrestrial networks

JH Lee, J Park, M Bennis, YC Ko - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Integrating low-altitude earth orbit (LEO) satellites (SATs) and unmanned aerial vehicles
(UAVs) within a non-terrestrial network (NTN), we investigate the problem of forwarding …

UAV-RIS assisted coordinated multipoint finite blocklength transmission for MTC networks

S Lv, X Xu, S Han, P Zhang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The integration of unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces
(RISs) is a promising solution to provide flexibility in deploying the networks while …

Beam learning in mmWave/THz-band drone networks under in-flight mobility uncertainties

SK Moorthy, Z Guan - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
This article focuses on designing high-data-rate wireless communications for drone
networks in the mmWave and terahertz (THz) frequency bands. MmWave/THz-band …

Aerial reconfigurable intelligent surface-aided wireless communication systems

TN Do, G Kaddoum, TL Nguyen… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
In this paper, we propose and investigate an aerial reconfigurable intelligent surface (aerial-
RIS)-aided wireless communication system. Specifically, considering practical composite …

Learning to estimate RIS-aided mmWave channels

J He, H Wymeersch, M Di Renzo… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Inspired by the remarkable learning and prediction performance of deep neural networks
(DNNs), we apply one special type of DNN framework, known as model-driven deep …

Heterogeneous multilink aggregation for reliable UAV communication in maritime search and rescue missions

J Güldenring, L Koring, P Gorczak… - … on Wireless and …, 2019 - ieeexplore.ieee.org
Recent technological advances are leading to increasing adoption of Unmanned Aerial
Vehicles (UAV) in more and more application areas. The use of UAVs promises great …

Cluster-based characterization and modeling for UAV air-to-ground time-varying channels

Z Cui, K Guan, C Oestges… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the deep integration between the unmanned aerial vehicle (UAV) and wireless
communication, UAV-based air-to-ground (AG) propagation channels need more detailed …

[HTML][HTML] A geometry-based beamforming channel model for UAV mmWave communications

K Mao, Q Zhu, M Song, B Hua, W Zhong, X Ye - Sensors, 2020 - mdpi.com
Considering the three-dimensional (3D) trajectory, 3D antenna array, and 3D beamforming
of unmanned aerial vehicle (UAV), a novel non-stationary millimeter wave (mmWave) …