The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
5G Key Technologies for Smart Railways
Abstract
Railway communications has attracted significant attention from both academia and industries due to the booming development of railways, especially high-speed railways (HSRs). To be in line with the vision of future smart rail communications, the rail transport industry needs to develop innovative communication network architectures and key technologies that ensure high-quality transmissions for both passengers and railway operations and control systems. Under high mobility and with safety, eco-friendliness, comfort, transparency, predictability, and reliability. Fifth-generation (5G) technologies could be a promising solution to dealing with the design challenges on high reliability and high throughput for HSR communications. Based on our in-depth analysis of smart rail traffic services and communication scenarios, we propose a network slicing architecture for a 5G-based HSR system. With a ray tracing-based analysis of radio wave propagation characteristics and channel models for millimeter wave (mmWave) bands in railway scenarios, we draw important conclusions with regard to appropriate operating frequency bands for HSRs. mymargin Specifically, we have identified significant 5G-based key technologies for HSRs, such as spatial modulation, fast channel estimation, cell-free massive multiple-input-multiple-output (MIMO), mmWave, efficient beamforming, wireless backhaul, ultrareliable low latency communications, and enhanced handover strategies. Based on these technologies, we have developed a complete framework of 5G technologies for smart railways and pointed out exciting future research directions.
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Cites
A Survey of 5G Network: Architecture and Emerging Technologies
Gupta, A., & Jha, R. K. (2015) · IEEE Access · doi:10.1109/access.2015.2461602 · Cited by 2,420
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
A survey of physical layer security techniques for 5g wireless networks and challenges ahead
Wu, Y., Khisti, A., Xiao, C., Caire, G., Wong, K.-K., & Gao, X. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2825560 · Cited by 816
Intelligent 5G: When Cellular Networks Meet Artificial Intelligence
Li, R., Zhao, Z., Zhou, X., Ding, G., Chen, Y., Wang, Z., & Zhang, H. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600304wc · Cited by 601
Challenges Toward Wireless Communications for High-Speed Railway
Ai, B., Briso-Rodriguez, C., Cheng, X., Kurner, T., Zhong, Z.-D., Guan, K., He, R.-S., Xiong, L., Matolak, D. W., & Michelson, D. G. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2310771 · Cited by 498
Self-citationHigh-Speed Railway Communications: From GSM-R to LTE-R
He, R., Ai, B., Wang, G., Guan, K., Zhong, Z., Molisch, A. F., Briso-Rodriguez, C., & Oestges, C. P. (2016) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2016.2564446 · Cited by 320
Self-citationFuture railway services-oriented mobile communications network
Ai, B., Guan, K., Rupp, M., Kurner, T., Cheng, X., Yin, X.-F., Wang, Q., Ma, G.-Y., Li, Y., Xiong, L., et al. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7295467 · Cited by 224
Self-citation
Cited by
Xu, C., Xiang, L., An, J., Dong, C., Sugiura, S., Maunder, R. G., Yang, L.-L., & Hanzo, L. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3203895 · Cited by 90
Metadata
- Authors
- Ai, B., Molisch, A. F., Rupp, M., & Zhong, Z.-D.
- Venue
- Proceedings of the IEEE
- Published
- 2020-06
- Volume
- 108
- Issue
- 6
- Pages
- 856-893
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W3029554135
- Cited by
- 357
- References
- 7
- FWCI
- 17.64
- Type
- journal article
- Language
- en
- Open access
- closed
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