Optimized Grouping Handover Method for Low Earth Orbit Satellite Networks Based on Massive User Attributes
With the large-scale deployment of Low Earth Orbit(LEO)satellite communication systems,there has been an explosive growth in user terminal numbers.However,satellite motion can cause service interruptions,leading to a scenario where a large number of users need to undergo handover simultaneously,resulting in significant signaling overhead and decreased network performance.To address these issues,a multi-satellite handover method based on optimized grouping of massive users'attributes is proposed.This method initially groups users based on attributes such as relative positions within the beam and handover demand bandwidth,using the switch satellite information satisfying user communication needs sent to the network by the serving satellite.By considering factors like handover success rate,load balancing,and handover delay,the method optimizes user grouping handover by scheduling users within groups and user groups.The signaling overhead of the optimized grouping handover method compared to spectral clustering grouping handover method and single-user handover method is analyzed in terms of signaling interaction process.Simulation results show that the optimized grouping handover method effectively improves handover success rate,enhances satellite load balancing,reduces handover delay,decreases signaling interactions between nodes during handover and decreases signaling overhead by minimizing.
LEO satellitemulti-satellite coverageinter-satellite handovergrouping handover
万方数据
维普
