Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Optimizing User Experience Quality in High-Speed Rail Wireless Network Based on IPv6 Technology

Authors
Yunzhou Wen1, *
1School of Computer Science, Central South University for Nationalities, Wuhan, China
*Corresponding author. Email: zhou_wen.wh@foxmail.com
Corresponding Author
Yunzhou Wen
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_51How to use a DOI?
Keywords
IPv6; 5G; wireless network; high-speed rail
Abstract

This article addresses the optimization of user experience quality in high-speed rail wireless networks using IPv6 technology. It underscores the necessity for stable, high-quality wireless services for passengers and the challenges encountered, such as significant delays, high packet loss rates, and subpar user experiences. The research aims to enhance user experience by analyzing the high-speed rail wireless networks’ characteristics and problems, exploring IPv6 technology’s potential to resolve these issues, and designing and evaluating IPv6-based optimization strategies. The article discusses the advantages of IPv6, such as built-in mobility support and data encryption, and proposes an optimization strategy integrating IPv6 and 5G technology. It includes an experimental evaluation, comparing different optimization strategies and concluding that the proposed IPv6-based strategy significantly improves performance and user experience. The article concludes by analyzing the impacts of the strategy, taking into account local demands and potential future developments. This analysis ultimately solidifies the strong endorsement for the enhanced IPv6 high-speed wireless network.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_51
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_51How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yunzhou Wen
PY  - 2023
DA  - 2023/12/04
TI  - Optimizing User Experience Quality in High-Speed Rail Wireless Network Based on IPv6 Technology
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 494
EP  - 503
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_51
DO  - 10.2991/978-94-6463-304-7_51
ID  - Wen2023
ER  -