基于随机网络演算的CBTC车-地无线通信时延分析

以往对城市轨道交通无线网络性能评估较多采用实验室仿真方法,该方法需要花费大量的时间和经济成本,给实际应用带来了很大的局限。提出一种能够分析车-地无线通信性能的理论方法——随机网络演算。通过随机网络演算对地铁CBTC无线业务分析并建立相应的业务到达模型和信道服务模型,根据随机网络演算的理论知识,推导出车地无线通信的时延边界,最后运用MATLAB工具对理论结果和仿真结果进行对比验证。通过对理论结果和仿真结果对比分析,可得两者误差相对较小,从而得出基于MGF的随机网络演算是可以分析CBTC车-地无线通信时延的结论。

Analysis of CBTC Vehicle-to-round Wireless Communication Delay Based on Stochastic Network Calculus

In the past,the laboratory simulation method was mostly used to evaluate the performance of the urban rail transit wireless network. This method requires a lot of time and economic costs and limits practical applications. A theoretical tool-stochastic network calculus is presented to analyze the performance of vehicle-to-ground wireless communication. The delay boundary of vehicle-to-round wireless communication is deduced by analyzing the subway CBTC wireless business through stochastic network calculus and by establishing corresponding business arrival model and channel service model based on the theoretical knowledge of stochastic network calculus. At last, MATLAB tool is used to verify the theoretical and simulation results. The comparison of the theoretical results with the simulation results shows that the error between the two is relatively small,and it can be concluded that the MGF-based stochastic network calculus is applicable to analyze the delay of CBTC vehicle-to-ground wireless communication.