output
20182021
most citedMachine Learning-Based 3D Channel Modeling for U2V mmWave Communications

85 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021 · eess.SPShow all

3 papers · 2 filters

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…