面向干扰管控的多星协同波束资源调度方法

姬思敬; 白卫岗; 郝斯宁; 周笛; 曾媛; 刘亮; 盛敏

doi:10.11959/j.issn.2096-8930.2026002

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面向干扰管控的多星协同波束资源调度方法

专题：卫星互联网星座设计与仿真技术 | 更新时间：2026-03-31

- 面向干扰管控的多星协同波束资源调度方法
- Multi-Satellite Collaborative Scheduling Method for Beam Resources with Interference Control
- 天地一体化信息网络 2026年7卷第1期页码：3-14
- 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：
  
  [ "姬思敬（1993- ），男，博士，西安电子科技大学副研究员，主要研究方向为大规模卫星星座组网方法、多星协同通信技术等。" ]
  [ "白卫岗（1987- ），男，博士，西安电子科技大学副教授，主要研究方向为卫星星座可靠组网、大规模星座仿真技术等。" ]
  [ "郝斯宁（2000- ），男，西安电子科技大学硕士生，主要研究方向为多星协同通信技术、跳波束通信技术等。" ]
  [ "周笛（1991- ），女，博士，西安电子科技大学教授，主要研究方向为卫星网络任务规划、资源管控技术等。" ]
  [ "曾媛（1979- ），女，博士，上海航天电子通讯设备研究所研究员，主要研究方向为大规模卫星组网关键技术、天基数据链组网技术等。" ]
  [ "刘亮（1986- ），男，博士，中国空间技术研究院通信与导航卫星总体部高级工程师，主要研究方向为卫星通信、空间网络协议等。" ]
  [ "盛敏（1975-），女，博士，西安电子科技大学教授、空天地一体化综合业务网全国重点实验室主任，主要研究方向为空天地一体化组网技术等。" ]
- 基金信息：
  
  国家自然科学基金(62461160329;62401440);中国博士后科学基金(2024M762541);中国航天科技集团公司第八研究院产学研合作基金(CCSN-2025-06)
- DOI：10.11959/j.issn.2096-8930.2026002
  中图分类号： TP393
- 收稿：2025-08-19，
  
  修回：2025-10-16，
  
  纸质出版：2026-03-20
- 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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