# Deep-Learning-Based Spatial–Temporal Channel Prediction for Smart High-Speed Railway Communication Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-spatial-temporal-channel-prediction-for-smart-high-speed/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tao Zhou,Haitong Zhang,Bo Ai,Chen Xue,Liu Liu |
| Citations | 85 |
| DOI | 10.1109/twc.2021.3139384 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4206133298 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Tao Zhou](https://scholariq.org/researchers/tao-zhou/)

## Paper primary topic

- [Millimeter-Wave Propagation and Modeling](https://scholariq.org/topics/millimeter-wave-propagation-and-modeling/)

## Paper topics

- [Millimeter-Wave Propagation and Modeling](https://scholariq.org/topics/millimeter-wave-propagation-and-modeling/)
- [Railway Engineering and Dynamics](https://scholariq.org/topics/railway-engineering-and-dynamics/)
- [Railway Systems and Energy Efficiency](https://scholariq.org/topics/railway-systems-and-energy-efficiency/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.