Sheng Chen

Orcid: 0000-0002-0907-735X

Affiliations:

Tsinghua University, Beijing National Research Center for Information Science and Technology, China

According to our database¹, Sheng Chen authored at least 11 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., August, 2024

2020

Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2020

1 A Deep Reinforcement Learning Framework to Combat Dynamic Blockage in mmWave V2X Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd 6G Wireless Summit, 2020

2019

Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2019

2018

Joint User Scheduling and Beam Selection Optimization for Beam-Based Massive MIMO Downlinks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2018

Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation.

[BibT_eX]

[DOI]

CoRR, 2018

Inferring Remote Channel State Information: Cramér-Rae Lower Bound and Deep Learning Implementation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

Time-Sequence Channel Inference for BEAM Alignment in Vehicular Networks.

[BibT_eX]

[DOI]

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

2017

Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network.

[BibT_eX]

[DOI]

CoRR, 2017

Remote Channel Inference for Beamforming in Ultra-Dense Hyper-Cellular Network.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Sheng Chen

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