面向差异化QoS需求的低轨算力卫星星座设计

彭煜明; 孙仪静; 邸博雅

doi:10.11959/j.issn.2096-3750.2025.00479

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面向差异化QoS需求的低轨算力卫星星座设计

专题：卫星物联网 | 更新时间：2025-04-21

- 面向差异化QoS需求的低轨算力卫星星座设计
- LEO computing satellite constellation design for heterogeneous QoS requirements
- 物联网学报 2025年9卷第1期页码：13-26
- 作者机构：
  
  北京大学电子学院，北京 100871
- 作者简介：
  
  [ "彭煜明（1999‒ ），男，北京大学电子学院博士生，主要研究方向为卫星通信、星座设计等。" ]
  [ "孙仪静（2002‒ ），女，北京大学电子学院博士生，主要研究方向为卫星通信、星座设计等。" ]
  [ "邸博雅（1992‒ ），女，博士，北京大学电子学院研究员、助理教授，主要研究方向为天地一体化通信网络、大规模全息天线传输与感知等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(62322101);广东省基础与应用基础研究基金项目(2023B0303000019)
- DOI：10.11959/j.issn.2096-3750.2025.00479
  中图分类号： TN927
- 收稿日期：2025-01-15，
  
  修回日期：2025-02-28，
  
  纸质出版日期：2025-03-30
- 稿件说明：
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彭煜明,孙仪静,邸博雅.面向差异化QoS需求的低轨算力卫星星座设计[J].物联网学报,2025,09(01):13-26.

PENG Yuming,SUN Yijing,DI Boya.LEO computing satellite constellation design for heterogeneous QoS requirements[J].Chinese Journal on Internet of Things,2025,09(01):13-26.
彭煜明,孙仪静,邸博雅.面向差异化QoS需求的低轨算力卫星星座设计[J].物联网学报,2025,09(01):13-26. DOI： 10.11959/j.issn.2096-3750.2025.00479.

PENG Yuming,SUN Yijing,DI Boya.LEO computing satellite constellation design for heterogeneous QoS requirements[J].Chinese Journal on Internet of Things,2025,09(01):13-26. DOI： 10.11959/j.issn.2096-3750.2025.00479.

摘要

日益增长的物联网终端设备数量对地面网络的服务能力提出了巨大挑战。超密集低地球轨道卫星星座成为弥补地面网络覆盖区域有限以及用户终端计算能力不足的技术手段。通过建立卫星与地面连接模型，分析用户可获得的平均算力和回程容量，构建了多目标优化问题，旨在最小化所需卫星数量，同时满足用户任务卸载的差异化服务质量（QoS

quality of service）需求。提出了一种两阶段星座设计算法，首先优化算力卫星的资源分配策略，随后确定最优QoS下的星座参数。仿真结果验证了模型的准确性，并探讨了轨道高度、任务量和覆盖率对星座设计的影响。与Kuiper、OneWeb和SpaceX星座相比，该算法设计的星座在相同卫星数量下，平均覆盖率分别提高了29.52%、48.73%和34.82%。

Abstract

The rapidly increasing number of Internet of things devices poses significant challenges to the service capabilities of terrestrial networks. Ultra-dense low earth orbit satellite constellations have emerged as a promising solution to address the limited coverage area of terrestrial networks and the insufficient computing capabilities of user terminals. By establishing a satellite-to-terrestrial connection model

the average computational resources and backhaul capacity available to ground users were analyzed and a multi-objective optimization problem for designing ultra-dense LEO constellations was modelled

aiming to minimize the total number of satellites while meeting the heterogeneous quality of service (QoS) requirements for user task offloading. A two-stage constellation design algorithm was proposed

which firstly optimized the resource allocation strategy of computational satellites and then determined the constellation parameters under optimal QoS conditions. Simulation results validate the accuracy of the theoretical model and analyze the impact of orbital altitude

task volume

and coverage requirements on constellation design. Compared with the Kuiper

OneWeb

and SpaceX constellations

the proposed constellation achieved an average coverage rate increase of 29.52%

48.73%

and 34.82%

respectively

with the same number of satellites.

关键词

Keywords

references

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