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1. 北京邮电大学电子工程学院,北京 100876
2. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
Online First:2018-10,
Published:25 October 2018
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Xin HU, Hangyu SONG, Shuaijun LIU, et al. Real-time prediction and updating method for LEO satellite handover based on time evolving graph[J]. Journal on Communications, 2018, 39(10): 43-51.
Xin HU, Hangyu SONG, Shuaijun LIU, et al. Real-time prediction and updating method for LEO satellite handover based on time evolving graph[J]. Journal on Communications, 2018, 39(10): 43-51. DOI: 10.11959/j.issn.1000-436x.2018166.
为了解决低轨(LEO
low earth orbit)卫星时变拓扑以及用户运动交织带来的切换效率较低的问题,提出一种基于时间演进图(TEG
time evolving graph)的星间实时切换预测框架和最短路径动态更新算法。根据终端运动情况,从时间和空间这2个维度动态更新切换预测结果。所提方法适用于多种切换策略,具有较高的灵活性。仿真结果显示,所提方法可以有效地提高预测的准确性,同时避免不必要的切换。
In order to solve the problem of low handover efficiency raised by the interwined impacts of time-varying topology of LEO satellites and terminal movement
a real-time satellite handover prediction framework based on time evolving graph and a shortest path dynamic updating method was proposed.This framework dynamically updated the handover prediction results from the temporal and spatial dimensions according to the terminal movement.The simulation results show that the framework can effectively improve the accuracy of the forecast and avoid the unnecessary handover.
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