6G-Enabled Smart Railways

Smart railways integrate advanced information technologies into railway operating systems to improve efficiency and reliability. Although the development of the fifth generation (5G) has enhanced railway services, future smart railways require ultra-high speeds, ultra-low latency, ultra-high security, full coverage, and ultra-high positioning accuracy, which 5G cannot fully meet. Therefore, the sixth generation (6G) is envisioned to provide green and efficient all-day operations, strong information security, fully automatic driving, and low-cost intelligent maintenance. To achieve these requirements, we propose an integrated network architecture leveraging communications, computing, edge intelligence, and caching in railway systems. We have conducted in-depth investigations on key enabling technologies for reliable transmissions and wireless coverage. For high-speed mobile scenarios, we propose an artificial intelligence (AI)-enabled cross-domain channel modeling and orthogonal time–frequency space–time spread multiple access mechanism to alleviate the conflict between limited spectrum availability and massive user access. The roles of blockchain, edge intelligence, and privacy technologies in endogenously secure rail communications are also evaluated. We further explore the application of emerging paradigms such as integrated sensing and communications (SACs), AI-assisted Internet of Things (IoT), semantic communications (SCs), and digital twin (DT) networks for railway maintenance, monitoring, prediction, and accident warning. Finally, possible future research and development directions are discussed. © 2026 IEEE<br/>

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Publication Details

Journal
Proceedings of the IEEE
Published
2025-10-01
DOI
https://doi.org/10.1109/jproc.2026.3656058
Citations
3
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
3.73
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article

6G-Enabled Smart Railways

Ruisi He, Yuguang Fang, Yunlong Lu, Guoyu Ma et al.
3 citations
Proceedings of the IEEE
Railway Systems and Energy Efficiency
3.73
article

6G-Enabled Smart Railways

Ruisi He, Yuguang Fang, Yunlong Lu, Guoyu Ma, Bo Ai, Jiayi Zhang, Dusit Niyato, Yong Niu, Wei Chen, Zhangdui Zhong
article en
3 citations

Abstract

Smart railways integrate advanced information technologies into railway operating systems to improve efficiency and reliability. Although the development of the fifth generation (5G) has enhanced railway services, future smart railways require ultra-high speeds, ultra-low latency, ultra-high security, full coverage, and ultra-high positioning accuracy, which 5G cannot fully meet. Therefore, the sixth generation (6G) is envisioned to provide green and efficient all-day operations, strong information security, fully automatic driving, and low-cost intelligent maintenance. To achieve these requirements, we propose an integrated network architecture leveraging communications, computing, edge intelligence, and caching in railway systems. We have conducted in-depth investigations on key enabling technologies for reliable transmissions and wireless coverage. For high-speed mobile scenarios, we propose an artificial intelligence (AI)-enabled cross-domain channel modeling and orthogonal time–frequency space–time spread multiple access mechanism to alleviate the conflict between limited spectrum availability and massive user access. The roles of blockchain, edge intelligence, and privacy technologies in endogenously secure rail communications are also evaluated. We further explore the application of emerging paradigms such as integrated sensing and communications (SACs), AI-assisted Internet of Things (IoT), semantic communications (SCs), and digital twin (DT) networks for railway maintenance, monitoring, prediction, and accident warning. Finally, possible future research and development directions are discussed. © 2026 IEEE<br/>

Proceedings of the IEEEVol. 113(10)
City University of Hong Kong (HK), Nanyang Technological University (SG), Beijing Jiaotong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Railway Systems and Energy Efficiency
3.73
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6G-Enabled Smart Railways — Ruisi He, Yuguang Fang, et al. · Proceedings of the IEEE (2025) | TGRS Research Map | TGRS