Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control

Ji Sijing; Bai Weigang; Hao Sining; Zhou Di; Zeng Yuan; Liu Liang; Sheng Min

doi:10.11959/j.issn.2096-8930.2026002

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Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control

Special Issue\: Satellite Internet Constellation Design and Simulation Technologies | 更新时间：2026-03-31

- Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control
- Space-Integrated-Ground Information Networks Vol. 7, Issue 1, Pages: 3-14(2026)
- 作者机构：
  
  1.西安电子科技大学空天地一体化综合业务网全国重点实验室，陕西西安 710071
  2.上海航天电子通讯设备研究所，上海 201109
  3.中国空间技术研究院通信与导航卫星总体部，北京 100086
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62461160329;62401440);China Postdoctoral Science Foundation(2024M762541);The Project of Industry-University Cooperation Funding of Shanghai Academy of Spaceflight Technology(CCSN-2025-06)
- DOI：10.11959/j.issn.2096-8930.2026002
  CLC： TP393
- Received：19 August 2025，
  
  Revised：2025-10-16，
  
  Published：20 March 2026
- 稿件说明：
移动端阅览
姬思敬,白卫岗,郝斯宁等.面向干扰管控的多星协同波束资源调度方法[J].天地一体化信息网络,2026,07(01):3-14.

Ji Sijing,Bai Weigang,Hao Sining,et al.Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control[J].Space-Integrated-Ground Information Networks,2026,07(01):3-14.
姬思敬,白卫岗,郝斯宁等.面向干扰管控的多星协同波束资源调度方法[J].天地一体化信息网络,2026,07(01):3-14. DOI： 10.11959/j.issn.2096-8930.2026002.

Ji Sijing,Bai Weigang,Hao Sining,et al.Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control[J].Space-Integrated-Ground Information Networks,2026,07(01):3-14. DOI： 10.11959/j.issn.2096-8930.2026002.

摘要

低轨卫星星座的密集部署加剧了波束同频干扰和资源管理挑战。针对非均匀业务分布与有限星载资源的矛盾，提出多星协同波束资源优化方法，通过星群协同调度与功率智能再分配，有效抑制干扰并实现了空闲资源的高效利用，提升了系统容量与业务满意度。首先，建立多星波束间干扰模型；然后，构建波束资源分层协同调度架构，通过星间信息共享、空间隔离约束及负载均衡策略，综合优化波束调度，从而有效抑制干扰并提升系统容量与负载均衡性；最后，针对高纬度波束过饱和问题，提出基于波束关停的功率再分配优化模型，并基于融合改进粒子群与模拟退火的混合算法进行求解，仿真结果验证了所提算法的有效性和高效性。

Abstract

Resource management has become more difficult due to the increased co-frequency interference between beams caused by the dense deployment of low earth orbit (LEO) satellite constellations. This work presents a multi-satellite collaborative beam resource optimization method to resolve the conflict between limited onboard satellite resources and uneven traffic distribution. The technique successfully suppresses interference and achieves efficient utilization of idle resources through intelligent power reallocation and coordinated satellite scheduling

enhancing system capacity and service satisfaction. First

a model of inter-beam interference between multiple satellites is developed. Additionally

a hierarchical collaborative beam resource scheduling architecture is built. The beam scheduling problem is thoroughly optimized by utilizing intersatellite information sharing

geographic isolation limitations

and load balancing techniques. This efficiently suppresses interference and improves system capacity and load balance. Lastly

a power reallocation model based on beam shutdown is proposed to address the beam oversaturation problem in high-latitude regions. A hybrid technique that combines simulated annealing and improved particle swarm optimization is employed to solve the problem. The usefulness and efficiency of the proposed method are confirmed by the simulation results.

关键词

Keywords

references

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