车辆环境中机器型通信与H2H LTE流量的交互

Christoph Ide, L. Habel, Timo Knaup, M. Schreckenberg, C. Wietfeld
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引用次数: 6

摘要

扩展浮动车数据(xFCD)是许多现代交通预测系统的基础。本文提出了一种具有不同传输规则的xFCD源模型,通过支持长期演进(LTE)的机器类型通信(MTC)使数据在预测服务器上有效可用。因此,考虑了传感器数据的延迟要求和通信链路的信道条件。结果表明,新的源模型降低了LTE系统的利用率,从而降低了其他人类蜂窝用户的服务退化。此外,数据传输的插入延迟对于所考虑的应用程序是可以容忍的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction between Machine-Type Communication and H2H LTE Traffic in Vehicular Environments
Extended Floating Car Data (xFCD) is the fundamental for many modern traffic forecast systems. In this paper, an xFCD source model with different transmission rules for making the data efficiently available at the forecast server by means of Long Term Evolution (LTE) enabled Machine-Type Communication (MTC) is proposed. Thereby, the delay requirements of the sensor data and the channel conditions of the communication link are taken into account. The results show that the new source model leads to a decreased utilization of the LTE system and therefore to a low service degradation of other human cellular users. Furthermore, the inserted delay of the data transmission is tolerable for the considered application.
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