Interference Alignment Algorithm for High-Speed Railway Wireless Communication Based on Mobile User Classification

Abstract

As the speed of high-speed railways continues to accelerate and the carrying capacity is also increasing, the service quality of rail transit wireless communication users has declined due to the impact of railway speed and user density. We propose a user classification method based interference alignment algorithm for high-speed railway wireless communication in this paper. The users on the train are divided into central users and edge users by mobility prediction, and then interference management is performed on different types of users. The simulation results show that the user classification based on mobility prediction is beneficial to accurately grasp the trend of user types, and conducive to interference management, and has significantly improved the performance of high-speed railway communication network