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面向低轨巨型星座的多目标卫星接入优化

徐阳威 张晨 张更新

太赫兹科学与电子信息学报2024,Vol.22Issue(5):495-502,515,9.
太赫兹科学与电子信息学报2024,Vol.22Issue(5):495-502,515,9.DOI:10.11805/TKYDA2024020

面向低轨巨型星座的多目标卫星接入优化

Multi-objective satellite access optimization for Low Earth Orbit mega-constellations

徐阳威 1张晨 1张更新1

作者信息

  • 1. 南京邮电大学通信与信息工程学院,江苏 南京 210003||南京邮电大学通信与网络技术国家工程研究中心,江苏 南京 210003
  • 折叠

摘要

Abstract

Low Eatht Orbit mega-constellations can provide global seamless coverage of satellite communication services,but also lead to users being covered by multiple satellites.How to choose the optimal satellite for access has become a key issue in the access technology of low-orbit mega-constellations.In response to the above problems,this paper proposes a multi-objective satellite access optimization algorithm based on particle swarm,the objective function comprehensively considers the distance between the satellite and the earth,the remaining service time of the satellite,and the remaining load of the satellite.According to the Quality of Service(QoS)requirements of different traffic types,corresponding weights are assigned to the parameters.Finally,considering the characteristics of a large number of visible satellites and dynamic changes,a low-complexity solution is obtained through the particle swarm algorithm.Simulations show that compared with the comparison algorithm,the proposed algorithm optimizes the trade-off between the distance from the satellite to the earth and the remaining service time of the satellite,guarantees the service time and communication quality,improves the success rate of access,and can flexibly meet the needs of users'different traffic types,adapt to the scenario of users'traffic distribution at different time and spaces,and the scenario of traffic discretization.

关键词

低轨巨型星座/卫星接入/多目标优化/粒子群算法

Key words

Low Eatht Orbit mega-constellations/satellite access/multi-objective optimization/particle swarm algorithm

分类

信息技术与安全科学

引用本文复制引用

徐阳威,张晨,张更新..面向低轨巨型星座的多目标卫星接入优化[J].太赫兹科学与电子信息学报,2024,22(5):495-502,515,9.

基金项目

国家重点研发计划重点专项资助项目(2022YFB2902600) (2022YFB2902600)

国家自然科学基金资助项目(61901230 ()

U21A20450) ()

太赫兹科学与电子信息学报

OACSTPCD

2095-4980

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