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Reinforcement Learning-Based Handover Strategy for Space-Ground Integration Network with Large-scale Constellations

Xiao Jia Di Zhou Min Sheng Yan Shi Ningyuan Wang Jiandong Li

通信与信息网络学报(英文)2022,Vol.7Issue(4):P.421-432,12.
通信与信息网络学报(英文)2022,Vol.7Issue(4):P.421-432,12.

Reinforcement Learning-Based Handover Strategy for Space-Ground Integration Network with Large-scale Constellations

Xiao Jia 1Di Zhou 1Min Sheng 1Yan Shi 1Ningyuan Wang 2Jiandong Li1

作者信息

  • 1. State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,China
  • 2. Institute of Telecommunication and Navigation Satellites,China Academy of Space Technology,Beijing 100000,Chin
  • 折叠

摘要

关键词

SGIN/large-scale constellations/satelliteground handover/cluster/reinforcement learning

分类

信息技术与安全科学

引用本文复制引用

Xiao Jia,Di Zhou,Min Sheng,Yan Shi,Ningyuan Wang,Jiandong Li..Reinforcement Learning-Based Handover Strategy for Space-Ground Integration Network with Large-scale Constellations[J].通信与信息网络学报(英文),2022,7(4):P.421-432,12.

基金项目

This work was supported in part by the National Key R&D Program of China under Grant 2020YFB1806100 ()

in part by the Natural Science Foundation of China under Grant U19B2025 and Grant 62001347 ()

in part by Key Research and Development Program of Shaanxi(Program No.2022ZDLGY05-02,and Program No.2021KWZ-05). (Program No.2022ZDLGY05-02,and Program No.2021KWZ-05)

通信与信息网络学报(英文)

OACSCDEI

2096-1081

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