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。
基金
supported by National Natural Science Foundation of China(Nos.62161016,61661025)
Gansu Provincial Science and Technology Plan(No.20JR10RA273)。
