activity
20202023
most citedMachine Learning-Based 3D Channel Modeling for U2V mmWave Communications

85 citations · 195 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2023

Enhancing Vital Sign Estimation Performance of FMCW MIMO Radar by Prior Human Shape Recognition

Hadi Alidoustaghdam, Min Chen, Ben Willetts +3

Radio technology enabled contact-free human posture and vital sign estimation is promising for health monitoring. Radio systems at millimeter-wave (mmWave) frequencies advantageous…

eess.SP2022★ 3 cited

Channel Modeling for UAV-to-Ground Communications with Posture Variation and Fuselage Scattering Effect

Boyu Hua, Haoran Ni, Qiuming Zhu +5

Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role for reliable communications between UAV and ground terminal. This paper proposes a three-dimensiona…

eess.SP2022

A Realistic 3D Non-Stationary Channel Model for UAV-to-Vehicle Communications Incorporating Fuselage Posture

Boyu Hua, Tongtong Zhou, Qiuming Zhu +4

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 multip…

eess.SP2021

Height-Dependent LoS Probability Model for A2G MmWave Communications under Built-up Scenarios

Minghui Pang, Qiuming Zhu, Fei Bai +4

Based on the three-dimensional propagation characteristic under built-up scenarios, a height-dependent line-of-sight (LoS) probability model for air-to-ground (A2G) millimeter wave…

eess.SP2021★ 58 cited

Geometry-Based Stochastic Line-of-Sight Probability Model for A2G Channels under Urban Scenarios

Qiuming Zhu, Fei Bai, Minghui Pang +4

Line-of-sight (LoS) path is essential for the reliability of air-to-ground (A2G) communications, but the existence of LoS path is difficult to predict due to random obstacles on th…

eess.SP2021★ 85 cited

Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications

Kai Mao, Qiuming Zhu, Maozhong Song +4

Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide flexible link and high data rate for future communication networks. By considering the new features…

eess.SP2021★ 49 cited

Map-based Channel Modeling and Generation for U2V mmWave Communication

Qiuming Zhu, Kai Mao, Maozhong Song +4

Unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) technologies have a promising prospect in the future communication networks. By considering the factors of three-dimens…

eess.SP2020

Effects of Digital Map on the RT-based Channel Model for UAV mmWave Communications

Qiuming Zhu, Shan Jiang, Cheng-Xiang Wang +4

Based on the geometry and ray tracing (RT) theory, a millimeter wave (mmWave) channel model and parameter computation method for unmanned aerial vehicle (UAV) assisted air-to-groun…