TCP-LTE/5 G Cross-layer performance analysis tool for high mobility data networking and a case study on high-speed railway

Ruihan Li, Yueyang Pan, Xiangtian Ma, Haotian Xu, Chenren Xu
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Abstract

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.

面向高移动性数据网络的TCP-LTE/ 5g跨层性能分析工具及高速铁路案例研究
如今,高流动性场景变得越来越普遍。高速铁路(HSR)在中国的广泛采用体现了这一趋势,而更具前景的用例,如车辆到一切,仍在不断出现。然而,在高移动性环境中提供的互联网接入仍然难以实现无缝连接。下一代无线蜂窝技术5G进一步对端到端演进提出了更多要求,以充分利用其超高带宽,而现有的网络诊断工具仅关注IP层以上或IP层以下。然后,我们提出了HiMoDiag,它能够以跨层的方式灵活地在线分析网络性能,即从顶部(应用层)到底部(物理层)。我们相信,HiMoDiag可以极大地简化查明高铁互联网接入交付不足的过程,导致更及时的优化,并最终有助于提高网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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