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基于用户分组的低轨卫星动态跳波束算法

舒晴 李维彪 金作霖 郑重 张永波 费泽松

天地一体化信息网络2023,Vol.4Issue(4):1-10,10.
天地一体化信息网络2023,Vol.4Issue(4):1-10,10.DOI:10.11959/j.issn.2096-8930.2023037

基于用户分组的低轨卫星动态跳波束算法

Dynamic Beam Hopping Algorithm for LEO Satellite Systems Based on User Grouping

舒晴 1李维彪 1金作霖 1郑重 1张永波 2费泽松1

作者信息

  • 1. 北京理工大学信息与电子学院,北京 100081
  • 2. 延安大学物理与电子信息学院,陕西 延安 716000
  • 折叠

摘要

Abstract

In a satellite communication system deployed with massive MIMO,when the number of users far exceeds the number of beams of the satellite,it is still difficult to satisfy the delay requirements of the satellite communication system even if the number of RF chains is increased,i.e.,the number of concurrently serving users is increased.To address the above problems,it proposed a dynamic beam hopping(BH)scheme based on user grouping for communication service coverage.The proposed method utilized the sparsity of the angular domain channel distribution to adaptively divide user groups accorded to the beam direction where the user energy is maxi-mum.The number of co-channel user groups was constrained by power and interference constraints,limiting the reduction of commu-nication traffic delay,as power limitations on the satellite make the number of RF chains limited and increased the number of simulta-neously served user groups increased the interference between user groups.So the BH scheme with beam cluster grouping was further proposed,when the beam clusters reduced the user delay by increased the number of users served at the same moment.Since the above problem was non-convex,it adopt a data-driven determinantal point process(DPP)learning method to simplify the beam scheduling in BH scheme.Simulation results showed that the dynamic BH algorithm based on user grouping could effectively reduce the average user delay by more than 52%compared with the single-beam scheme,also verifies the versatility of the DPP learning.

关键词

低轨卫星/跳波束技术/资源分配/行列式点过程

Key words

LEO satellite/beam-hopping technology/resource allocation/determinantal point process learning

分类

信息技术与安全科学

引用本文复制引用

舒晴,李维彪,金作霖,郑重,张永波,费泽松..基于用户分组的低轨卫星动态跳波束算法[J].天地一体化信息网络,2023,4(4):1-10,10.

基金项目

国家重点研发计划资助项目(No.2020YFB1806900) (No.2020YFB1806900)

北京理工大学研究生院博士生论坛(No.2023BSLT004)National Key Research and Development Program of China(No.2020YFB1806900),Doctoral Forum of Graduate School of BIT(No.2023BSLT004) (No.2023BSLT004)

天地一体化信息网络

OACSTPCD

2096-8930

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