Channel modeling for UAV-to-ground communications with posture variation and fuselage scattering effect

B Hua, H Ni, Q Zhu, CX Wang, T Zhou… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role in
reliable communications between UAV and ground terminal. This paper proposes a three …

Machine-learning-based 3-D channel modeling for U2V mmWave communications

K Mao, Q Zhu, M Song, H Li, B Ning… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …

Map-based channel modeling and generation for U2V mmWave communication

Q Zhu, K Mao, M Song, X Chen, B Hua… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) technologies have a
promising prospect in the future wireless communication networks. By considering the …

Geometry-based stochastic line-of-sight probability model for A2G channels under urban scenarios

Q Zhu, F Bai, M Pang, J Li, W Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Line-of-sight (LoS) path is essential for the reliability of air-to-ground (A2G) communications,
but the existence of the LoS path is difficult to predict due to random obstacles on the …

Channel characterization and modeling for 6G UAV-assisted emergency communications in complicated mountainous scenarios

Z Zhang, Y Liu, J Huang, J Zhang, J Li, R He - Sensors, 2023 - mdpi.com
Regarding the new demands and challenges of sixth-generation (6G) mobile
communications, wireless networks are undergoing a significant shift from traditional …

Geometry-based stochastic probability models for the LoS and NLoS paths of A2G channels under urban scenarios

M Pang, Q Zhu, CX Wang, Z Lin, J Liu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Path probability prediction is essential to describe the dynamic birth and death of
propagation paths, and build the accurate channel model for air-to-ground (A2G) …

[HTML][HTML] Real-time ray-based channel generation and emulation for UAV communications

Y Yang, LI Tingpeng, C Xiaomin, W Manxi… - Chinese Journal of …, 2022 - Elsevier
A real-time ray-based hardware emulator for Unmanned Aerial Vehicle (UAV)
communication channels which suits for the Three-Dimensional (3D) dynamic scenarios and …

Propagation Modeling of Unmanned Aerial Vehicle (UAV) 5G Wireless Networks in Rural Mountainous Regions Using Ray Tracing

S Ali, A Abu-Samah, NF Abdullah, NLM Kamal - Drones, 2024 - search.proquest.com
Deploying 5G networks in mountainous rural regions can be challenging due to its unique
and challenging characteristics. Attaching a transmitter to a UAV to enable connectivity …

Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications

M Pang, Q Zhu, Z Lin, F Bai, Y Tian, Z Li… - Frontiers of Information …, 2022 - Springer
Abstract Line-of-sight (LoS) probability prediction is critical to the performance optimization
of wireless communication systems. However, it is challenging to predict the LoS probability …

A realistic 3D non-stationary channel model for UAV-to-vehicle communications incorporating fuselage posture

B Hua, T Zhou, Q Zhu, K Mao, J Bao… - China …, 2023 - ieeexplore.ieee.org
Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D
non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input …