Optimization of Adaptive Handover Algorithm Based on Distributed Antenna in LTE-R

Abstract

In the high-speed railway, the traditional handover algorithm uses a fixed handover hysteresis threshold, which will result in a lower success rate of the train when the train is traveling at a high speed, and cannot meet the wireless communication needs of the passenger. According to the distribution of antennas in the high-speed railway and the analysis of the handover process and measurement parameters, an adaptive handoff algorithm based on distributed antenna is proposed. For the deployment of antennas in high-speed railways, a distributed approach is adopted, and the RAUs with the best quality are selected to maintain the connection. In the process of switching, the hysteresis threshold value of switching is dynamically adjusted at different positions according to different speeds, and the success rate, interruption probability and average value of switching are simulated and comparedSimulation results show that in the case of distributed antenna deployment, handover threshold is dynamically adjusted according to different speeds to reduce the interruption probability of handover, and the success rate of handover is significantly improved, but the average number of handover will increase correspondingly, which can meet the requirements of passengers for wireless communication system in high-speed railway.