西安电子科技大学学报 ›› 2025, Vol. 52 ›› Issue (3): 73-84.doi: 10.19665/j.issn1001-2400.20241104

• 第二十七届中国科协年会——6G技术创新与未来产业发展 • 上一篇    下一篇

基于DWGA的低轨卫星多波束调度策略

李红光1,2,3(), 石晶林1,2,3(), 周一青1,2,3,4(), 刘垚圻1,2,3()   

  1. 1.中国科学院计算技术研究所 处理器芯片全国重点实验室,北京 100190
    2.中国科学院大学 计算机科学与技术学院,北京 100190
    3.中国科学院计算技术研究所 移动计算与新型终端北京市重点实验室,北京 100190
    4.中科南京移动通信与计算创新研究院,江苏 南京 211135
  • 收稿日期:2024-08-30 出版日期:2025-06-20 发布日期:2024-11-27
  • 通讯作者: 周一青(1975—),女,研究员,博士,E-mail:zhouyiqing@ict.ac.cn
  • 作者简介:李红光(1997—),男,中国科学院计算技术研究所博士研究生,E-mail:lihongguang20s@ict.ac.cn
    石晶林(1972—),男,研究员,博士,E-mail:sjl@ict.ac.cn
    刘垚圻(1995—),男,助理研究员,博士,E-mail:liuyaoqi@ict.ac.cn
  • 基金资助:
    中国科学院计算所创新课题(E261020);江苏省重点研发计划(BE2021013-2)

Multi-beam scheduling strategy for the low-earth orbit satellite based on DWGA

LI Hongguang1,2,3(), SHI Jinlin1,2,3(), ZHOU Yiqing1,2,3,4(), LIU Yaoqi1,2,3()   

  1. 1. State Key Lab of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China
    2. School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China
    3. Beijing Key Laboratory of Mobile Computing and Pervasive Device,Institute of Computing Technology,Beijing 100190,China
    4. Zhongke Nanjing Mobile Communication & Computing Innovation Institute,Nanjing 211135,China
  • Received:2024-08-30 Online:2025-06-20 Published:2024-11-27

摘要:

低轨卫星通信是天地一体化信息网络的重要组成部分,在实时业务和应急通信等领域具有重要作用。针对地面用户业务需求时空分布差异大,导致低轨卫星波束资源利用率低的问题,提出一种基于时延加权和遗传算法的低轨卫星多波束调度策略。首先设计了低轨卫星多波束调度架构;其次通过构建的波束干扰模型分析同频复用距离对载干噪比的影响,从而确定全频率复用的干扰规避方案;然后采用真实人口密度分布和用户调度速率构建业务模型;接着将待发往不同波束小区的业务容量与业务容忍时延加权得到容量调度因子,以避免业务数据超时失效;最后以最大化卫星容量为目标,采用遗传算法求解出不同调度次序下的跳波束图案。仿真结果表明,与遗传算法、轮询算法和随机算法对比,所提算法容量利用率分别平均提升2.74%,45.5%,46.23%;业务超时失效率分别平均降低2.52%,20.66%,25.36%;与遗传算法相比,所提算法代价为存储容量。

关键词: 低轨卫星, 跳波束, 资源分配, 遗传算法

Abstract:

Low-earth orbit (LEO) satellite communication is an important part of the air-space-ground integrated network and plays an important role in real-time operations and emergency communications.A multi-beam scheduling strategy for LEO satellites based on delay weighting and the genetic algorithm (DWGA) is proposed to solve the problem of low utilization of beam resources due to the large spatial-temporal difference of user service requirements.First,a multi-beam scheduling architecture for LEO satellites is designed.Second,the impact of the co-channel reuse distance on the carrier-to-interference-plus-noise ratio is analyzed by constructing a beam interference model,thereby determining an interference avoidance scheme for full-frequency reuse.Then the real population density distribution and user scheduling rate are used to build the business model.Subsequently,the capacity allocated to different beam cells is determined by weighting based on the maximum tolerable delay of traffic to derive a capacity scheduling factor,thereby preventing traffic data failures.Finally,with the objective of maximizing capacity,a genetic algorithm (GA) is employed to determine the beam-hopping patterns under various scheduling sequences.Simulation results demonstrate that,when compared to the genetic algorithm,the round robin (RR) algorithm,and the random algorithm (RA),the proposed algorithm's capacity utilization rate has increased on average by 2.74%,45.5%,and 46.23%,respectively,and the service timeout failure rates have been reduced on average by 2.52%,20.66%,and 25.36%,respectively.Compared to genetic algorithms,the cost of the proposed algorithm is storage capacity.

Key words: low earth orbit satellite, beam hopping, resource allocation, genetic algorithms

中图分类号: 

  • TN927.23