测试科学与仪器2025，Vol.16Issue(1)：47-57,11.DOI:10.62756/jmsi.1674-8042.2025005
基于CNN-WaveNet的高铁无线通信越区切换算法
Handoff algorithm of high-speed railway wireless communication based on CNN-WaveNet
摘要
Abstract
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.关键词
高铁/越区切换/无线通信/卷积神经网络Key words
high-speed railway(HSR)/handover/wireless communication/convolution neural network(CNN)引用本文复制引用
赵容瑢,李翠然,谢健骊,张泽鹏..基于CNN-WaveNet的高铁无线通信越区切换算法[J].测试科学与仪器,2025,16(1):47-57,11.基金项目
This work was supported by National Natural Science Foundation of China(Nos.62161016,61661025),and Gansu Provincial Science and Technology Plan(No.20JR10RA273). （Nos.62161016,61661025）
