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作 者:ZHAO Rongrong LI Cuiran XIE Jianli ZHANG Zepeng 赵容瑢;李翠然;谢健骊;张泽鹏(兰州交通大学电子与信息工程学院,甘肃兰州730070;兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州730070)
机构地区:[1]School of Electronics and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China [2]Key Laboratory of Optoelectronic Technology and Intelligent Control of Ministry of Education,Lanzhou Jiaotong University,Lanzhou 730070,China
出 处:《Journal of Measurement Science and Instrumentation》2025年第1期47-57,共11页测试科学与仪器(英文版)
基 金:supported by National Natural Science Foundation of China(Nos.62161016,61661025);Gansu Provincial Science and Technology Plan(No.20JR10RA273)。
摘 要:In order to ensure the uninterrupted communication between high-speed train and base station,driving safety and satisfying online experience of passengers,a dual-link switching algorithm based on CNN-WaveNet decision parameter multi-step prediction model is proposed to establish a two-hop relay communication system model between the high-speed train and the base station.Firstly,the switching algorithm uses convolution neural network(CNN)to extract the time sequence characteristics of decision parameters.Then,it learns the mapping relationship between feature information and decision parameters based on WaveNet and combining with rolling prediction method to realize multi-step prediction of decision parameters.Finally,dual-antenna communication mode is adopted to realize dual-link communication.The simulation results show that the proposed handover algorithm can improve handover trigger rate and handover success rate.为保证高速列车与地面之间通信不中断、提高行车安全和乘客上网体验,提出了一种基于CNN-Wave Net判决参数多步预测模型的双链路切换算法,以建立列车与基站间的两跳中继通信系统模型。首先,该切换算法利用卷积神经网络(Convolution neural network,CNN)提取判决参数的时序序列特征。其次,基于Wave Net学习特征信息与判决参数之间的映射关系,并结合滚动预测方式实现判决参数的多步预测。最后,采用双天线通信模式实现双链路通信。仿真结果表明,所提出的切换算法可实现切换触发率和切换成功率的优化。
关 键 词:high-speed railway(HSR) HANDOVER wireless communication convolution neural network(CNN)
分 类 号:TN9[电子电信—信息与通信工程]
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