一种用于无轨电车在线状态监测的多模多路自适应传输系统

Zhong-li Wang, Shujing Li, B. Cai, Guiguo Wang, Tianbai Zhang, Hua Zhang
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引用次数: 1

摘要

无轨电车等低速列车在线状态监测的迅猛发展,对车地无线通信网络的高服务质量提出了新的要求。这类列车一般都在市区运行,由于基站的信号覆盖,单一模式的移动网络用于车地通信可能不可靠,特别是当列车运行在两个基站之间的间隙时。本文通过融合公共2G/3G/4G移动网络,设计了一种多模多通道的车地通信系统。该系统可采用三种无线通信方式,并在三种模式之间自动切换。提出了一种多模自适应无线数据传输方法。研究了GSM、CDMA2000和WCDMA、TD-SCDMA、TDD-LTE和FDD-LTE相结合的多模无线通信网络接入技术,建立了多模多信道估计模型。根据预测的信道质量和当前检测的信道质量,采用层次分析法和熵值法进行信道选择。然后,来自多个资源(TCMS、PIS、CCTV)的数据以不同的方式打包和传输。有效地利用了多模通信链路的带宽,实现了列车的TCMS信息、PIS和视频等数据的在线传输。仿真结果表明了所提出的多模多通道自适应传输方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-mode multi-channel adaptive transmission system for online state monitoring of the trolleybus
The dramatic growth of online state monitoring for low speed train, like trolleybus et al, gives rise to the new requirements on high quality-of-service of wireless train-ground communication networks. Generally these kinds of train are running at urban area, because of the signal coverage of base station, single mode of mobile network for the train-ground communication may be not reliable, especially when the train runs at the gap between two base stations. In this paper, we designed a multi-mode multi-channel train-ground communication system by fusing the public 2G/3G/4G mobile networks. The system can use the three kinds of wireless communication mode, and switch among the mode automatically. A multi-mode adaptive wireless data transmission method is proposed. In which, the multimode wireless communication network access technology integrated with GSM, CDMA2000 and WCDMA, TD-SCDMA, TDD-LTE and FDD-LTE are studied and a multi-mode multi-channel model is established to estimate channel. It uses the analytic hierarchy process (AHP) and entropy value method for channel selection according to the channel quality of the predicted and the current detection. Then the data from multiple resources (TCMS, PIS, CCTV) are packed and transported in different ways. The bandwidth of the multi-mode communication links can be effectively used and the online transmission of TCMS information, PIS and video and other data of the train are realized. Simulation results are presented to show the feasibility of the proposed multi-mode multi-channel adaptive transmission method.
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