Lu Bai

Orcid: 0000-0003-1687-0863

Affiliations:

Shandong University, School of Information Science and Engineering, Qingdao, China

According to our database¹, Lu Bai authored at least 23 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

A Mixed-Bouncing Based Non-Stationarity and Consistency 6G V2V Channel Model With Continuously Arbitrary Trajectory.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., February, 2024

A Non-Stationary Channel Model for 6G Multi-UAV Cooperative Communication.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., February, 2024

Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines.

[BibT_eX]

[DOI]

IEEE Commun. Surv. Tutorials, 2024

2023

A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., December, 2023

A 3D Non-Stationarity and Consistency Model for Cooperative Multi-Vehicle Channels.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., September, 2023

A Non-Stationary Model With Time-Space Consistency for 6G Massive MIMO mmWave UAV Channels.

[BibT_eX]

[DOI]

Lu Bai

Ziwei Huang

Xiang Cheng

IEEE Trans. Wirel. Commun., March, 2023

A Non-Stationary 6G V2V Channel Model With Continuously Arbitrary Trajectory.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2023

A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

A Non-Stationary 3D Model for 6G Massive MIMO mmWave UAV Channels.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

A Non-Stationary 6G UAV Channel Model With 3D Continuously Arbitrary Trajectory and Self-Rotation.

[BibT_eX]

[DOI]

Lu Bai

Ziwei Huang

Xiang Cheng

IEEE Trans. Wirel. Commun., 2022

A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Channel Nonstationarity and Consistency for Beyond 5G and 6G: A Survey.

[BibT_eX]

[DOI]

Xiang Cheng

Ziwei Huang

Lu Bai

IEEE Commun. Surv. Tutorials, 2022

2021

A 3D Cluster-Based Channel Model for 5G and Beyond Vehicle-to-Vehicle Massive MIMO Channels.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

A 3-D Nonstationary Wideband V2V GBSM With UPAs for Massive MIMO Wireless Communication Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

2020

A Novel Atmosphere-Informed Data-Driven Predictive Channel Modeling for B5G/6G Satellite-Terrestrial Wireless Communication Systems at Q-Band.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

A Big Data Enabled Channel Model for 5G Wireless Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2020

Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving.

[BibT_eX]

[DOI]

Shangbin Wu

Yue Wang

Lu Bai

IEEE Access, 2020

2019

Channel Modeling for Satellite Communication Channels at Q-Band in High Latitude.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2018

2017

A 3-D Wideband Multi-Confocal Ellipsoid Model for Wireless Massive MIMO Communication Channels with Uniform Planar Antenna Array.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Performance comparison of six massive MIMO channel models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

2016

Recent advances and future challenges for massive MIMO channel measurements and models.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2016

A 3-D wideband multi-confocal ellipsoid model for wireless MIMO communication channels.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Lu Bai

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