Handoff algorithm of high-speed railway wireless communication based on CNN-WaveNet

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.