摘要
针对高速列车未来在5G-R通信场景下,传统越区切换算法存在参数固定、乒乓切换率较高等问题,提出一种基于灰色-模糊推理的5G-R越区切换算法。首先,建立在郊区等开阔场景下5G-R的无线信号传播模型,该算法对列车运行过程中的参考信号接收功率(Reference Signal Receiving Power,RSRP)进行采集,并通过GM(1,1)灰色模型对当前时刻的RSRP进行预测。其次,选取列车运行速度、预测的参考信号功率等参数,利用梯形、三角隶属度函数对其进行模糊处理作为模糊推理系统的输入值。最后,设计一种模糊推理系统,通过模糊推理并去模糊化后输出精确的迟滞门限值。仿真结果表明,与同类型算法相比,所提算法的乒乓切换次数更低,有效提升高速列车越区切换的稳定性。
This paper proposes a 5G-R handover algorithm based on grey-fuzzy reasoning,to address the problems of fixed parameters and high ping-pong handover rate in traditional handover algorithms for high-speed trains in the future 5G-R communication scenario.Firstly,a radio signal propagation model for 5G-R in open scenarios such as suburban areas is established.The proposed algorithm acquires the Reference Signal Receiving Power(RSRP)during train operation and predicts the current RSRP by using the GM(1,1)grey model.Secondly,parameters such as train running speed and predicted reference signal power are selected and fuzzy processed by using trapezoidal and triangular membership functions as input values for the fuzzy reasoning system.Finally,a fuzzy reasoning system is designed to output an accurate hysteresis threshold value after fuzzy reasoning and defuzzification.The simulation results show that,compared with similar algorithms,the proposed algorithm has fewer ping-pong handover times,eff ectively improving the handover stability of high-speed trains.
作者
朱镔汉
李振源
Zhu Binhan;Li Zhenyuan(CRSC Research&Design Institute Group Co.,Ltd.,Beijing 100070,China;Engineering Research Center of Railway Industry of Intelligent and Autonomous Train Control,Beijing 100070,China;Xi'an Communication Section,China Railway Xi'an Group Co.,Ltd.,Xi’an 710054,China)
出处
《铁路通信信号工程技术》
2025年第8期70-75,93,共7页
Railway Signalling & Communication Engineering
基金
国家自然科学基金项目(U2268201)。
