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

85 citations

5 papers

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…

cs.NI2019★ 1 cited

Traffic-aware Two-stage Queueing Communication Networks: Queue Analysis and Energy Saving

Nan Qi, Nikolaos I. Miridakis, Ming Xiao +3

To boost energy saving for the general delay-tolerant IoT networks, a two-stage and single-relay queueing communication scheme is investigated. Concretely, a traffic-aware -thre…

cs.IT2018

Multi-snapshot Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors

Jiang Zhu, Lin Han, Rick S. Blum +1

In this paper, multi-snapshot Newtonized orthogonal matching pursuit (MNOMP) algorithm is proposed to deal with the line spectrum estimation with multiple measurement vectors (MMVs…