Qi Wang

Orcid: 0000-0002-5460-1106

Affiliations:

Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China

According to our database¹, Qi Wang authored at least 20 papers between 2015 and 2020.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Bibliography

2020

A Fast Beam Training Method for 5G New Radio.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019

5-GHz Obstructed Vehicle-to-Vehicle Channel Characterization for Internet of Intelligent Vehicles.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

2018

Shadowing Characterization for 5-GHz Vehicle-to-Vehicle Channels.

[BibT_eX]

[DOI]

Qi Wang

David W. Matolak

Bo Ai

IEEE Trans. Veh. Technol., 2018

Cluster-Based 3-D Channel Modeling for Massive MIMO in Subway Station Environment.

[BibT_eX]

[DOI]

IEEE Access, 2018

Channel Characterization for Massive MIMO in Subway Station Environment at 6 GHz and 11 GHz.

[BibT_eX]

[DOI]

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

A Cluster-Based 3D Channel Model for Vehicle-to-Vehicle Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Time-Variant Cluster-Based Channel Modeling for V2V Communications.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Obstructed Vehicle-to-Vehicle Channel Modeling for Intelligent Vehicular Communications.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Non-stationary Characteristics for Indoor Massive MIMO Channels.

[BibT_eX]

[DOI]

Qi Wang

Jiadong Du

Yuanyuan Cui

Proceedings of the Communications and Networking, 2018

2017

Indoor massive multiple-input multiple-output channel characterization and performance evaluation.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2017

A Framework of Automatic Clustering and Tracking for Time-Variant Multipath Components.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2017

Spatial Variation Analysis for Measured Indoor Massive MIMO Channels.

[BibT_eX]

[DOI]

IEEE Access, 2017

Non-Orthogonal Coded Access for Contention-Based Transmission in 5G.

[BibT_eX]

[DOI]

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Directional Analysis of Indoor Massive MIMO Channels at 6 GHz Using SAGE.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Empirical evaluation of indoor multi-user MIMO channels with linear and planar large antenna arrays.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016

Measurement-Based Characterizations of Indoor Massive MIMO Channels at 2 GHz, 4 GHz, and 6 GHz Frequency Bands.

[BibT_eX]

[DOI]

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

2015

Device-to-device channel measurements and models: a survey.

[BibT_eX]

[DOI]

IET Commun., 2015

Future railway services-oriented mobile communications network.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2015

The evaluation of geometry-based stochastic models for device-to-device channels.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference Workshops, 2015

A Method for Generating Correlated Taps in Stochastic Vehicle-to-Vehicle Channel Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

Qi Wang

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