Train Velocity and Data Throughput - A Large Scale LTE Cellular Measurements Study

Johan Garcia, Stefan Alfredsson, A. Brunström, C. Beckman
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引用次数: 10

Abstract

Train-mounted aggregation routers that provide WiFi access to train passengers and bundle external communication over multiple cellular modems/links is an efficient way of providing communication services on trains. However, the characteristics of such systems have received limited attention in the literature. In this paper we address this gap by examining the communication characteristics of such systems based on a large data set gathered over six months from an operational Swedish railway system. We focus our examination on the relationship between per link throughput and train velocity. Using Levenberg- Marquardt non-linear regression a noticeable critical point is observed for an RS-SINR of around 12 dB. At this point the impact of increased train velocity on per link throughput changes from being negative to becoming positive. Using a machine learning approach we also explore the relative importance of several observed metrics in relation to per link throughput.
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列车速度和数据吞吐量——大规模LTE蜂窝测量研究
列车上的聚合路由器为列车乘客提供WiFi接入,并通过多个蜂窝调制解调器/链路捆绑外部通信,是在列车上提供通信服务的有效方式。然而,这些系统的特征在文献中受到的关注有限。在本文中,我们根据从运营的瑞典铁路系统收集的六个多月的大型数据集,通过检查此类系统的通信特性来解决这一差距。我们将重点研究每条线路吞吐量与列车速度之间的关系。使用Levenberg- Marquardt非线性回归,观察到RS-SINR约为12 dB的显著临界点。在这一点上,提高列车速度对每条链路吞吐量的影响从负面变为正面。使用机器学习方法,我们还探讨了与每链路吞吐量相关的几个观察指标的相对重要性。
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