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Mobile 5G Network Deployment Scheme on High-Speed Railway
- Source :
- Tehnički Vjesnik, Vol 30, Iss 3, Pp 882-890 (2023)
- Publication Year :
- 2023
- Publisher :
- Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2023.
-
Abstract
- The fifth-generation (5G) wireless communication has experienced an upsurge of interest for empowering vertical industries, due to its high data volume, extremely low latency, high reliability, and significant improvement in user experience. Specifically, deploying 5G on high-speed railway (HSR) is critical for the promotion of smart travelling such that passengers can connect to the Internet and utilize the on-board time to continue their usual activities. However, there remains a series of challenges in practical implementation, such as the serious Doppler shift caused by the high mobility, the carriage penetration loss especially in the high-frequency bands, frequent handovers, and economic issues. To address these challenges, we propose three schemes in this article to improve the coverage of 5G networks on the train. In particular, we provide a comprehensive description of each scheme in terms of their network architecture and service establishment procedures. Specifically, the mobile edge computing (MEC) is used as the key technology to provide low-latency services for on-board passengers. Moreover, these three schemes are compared among themselves regarding the quality-of-service, the scalability of service, and the related industry development status. Finally, we discuss various potential research directions and open issues in terms of deploying 5G networks on HSR.
Details
- Language :
- English
- ISSN :
- 13303651 and 18486339
- Volume :
- 30
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Tehnički Vjesnik
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.badbb7aeb748b899253891d56b089b
- Document Type :
- article
- Full Text :
- https://doi.org/10.17559/TV-20221219144520