| Autor: |
Ruihan Li, Yueyang Pan, Xiangtian Ma, Haotian Xu, Chenren Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
High-Speed Railway, Vol 1, Iss 2, Pp 141-146 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2949-8678 |
| DOI: |
10.1016/j.hspr.2023.05.002 |
| Popis: |
Nowadays, high mobility scenarios have become increasingly common. The widespread adoption of High-speed Rail (HSR) in China exemplifies this trend, while more promising use cases, such as vehicle-to-everything, continue to emerge. However, the Internet access provided in high mobility environments still struggles to achieve seamless connectivity. The next generation of wireless cellular technology 5 G further poses more requirements on the end-to-end evolution to fully utilize its ultra-high band-width, while existing network diagnostic tools focus on above-IP layers or below-IP layers only. We then propose HiMoDiag, which enables flexible online analysis of the network performance in a cross-layer manner, i.e., from the top (application layer) to the bottom (physical layer). We believe HiMoDiag could greatly simplify the process of pinpointing the deficiencies of the Internet access delivery on HSR, lead to more timely optimization and ultimately help to improve the network performance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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