面向6G卫星互联网的多层级智能决策优化框架设计

柳虎威; 周丽

doi:10.11959/j.issn.1000-0801.2025040

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面向6G卫星互联网的多层级智能决策优化框架设计

研究 | 更新时间：2026-01-09

- 面向6G卫星互联网的多层级智能决策优化框架设计
- Multi-Level Intelligent Decision Optimization Framework for 6G Satellite Internet
- 天地一体化信息网络 2025年6卷第4期页码：72-83
- 作者机构：
  
  北京经济管理职业学院临空经济管理学院，北京 100102
- 作者简介：
  
  [ "柳虎威（1994- ），男，北京经济管理职业学院讲师，主要研究方向为优化理论与方法。" ]
  [ "周丽（1978- ），女，北京经济管理职业学院教授、副院长，主要研究方向为优化理论与方法。" ]
- 基金信息：
  
  四川省哲学社会科学重点实验室“智慧应急管理重点实验室”资助项目(2025ZHYJGL-3);国家社会科学基金(24FGLB047);北京经理学院科技英才支持计划(25KJLH01)
- DOI：10.11959/j.issn.1000-0801.2025040
  中图分类号： TP393
- 收稿：2025-06-30，
  
  修回：2025-08-13，
  
  纸质出版：2025-12-20
- 稿件说明：
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柳虎威,周丽.面向6G卫星互联网的多层级智能决策优化框架设计[J].天地一体化信息网络,2025,06(04):72-83.

LIU Huwei,ZHOU Li.Multi-Level Intelligent Decision Optimization Framework for 6G Satellite Internet[J].Space-Integrated-Ground Information Networks,2025,06(04):72-83.
柳虎威,周丽.面向6G卫星互联网的多层级智能决策优化框架设计[J].天地一体化信息网络,2025,06(04):72-83. DOI： 10.11959/j.issn.1000-0801.2025040.

LIU Huwei,ZHOU Li.Multi-Level Intelligent Decision Optimization Framework for 6G Satellite Internet[J].Space-Integrated-Ground Information Networks,2025,06(04):72-83. DOI： 10.11959/j.issn.1000-0801.2025040.

摘要

随着6G通信技术的发展，低轨卫星互联网凭借其全球覆盖、低时延等优势成为构建天地一体化网络的关键技术。然而，6G卫星互联网系统面临星座配置、资源调度和业务优化等多层级强耦合决策问题，现有单层优化方法难以有效处理层间依赖关系。针对该问题，提出一种面向6G卫星互联网的多层级智能决策优化框架。首先构建涵盖星座部署、资源调度和业务优化的3层决策模型，建立层间信息交互和约束传递机制；然后设计基于改进遗传算法、凸优化分解和多智能体深度强化学习的混合智能算法，通过交替方向乘子法实现多层级协调优化；最后基于MATLAB仿真平台验证框架性能。实验结果表明，相比传统分层优化和启发式算法，该框架在系统容量、频谱效率和QoS满足度方面分别提升（8.6±1.2）%、（10.8±1.3）%和（6.5±0.8）%。

Abstract

With the development of 6G communication technology

LEO satellite Internet has become a key technology for constructing space-terrestrial integrated networks due to its advantages of global coverage and low latency. However

6G satellite Internet systems face multi-level strongly coupled decision-making problems such as constellation configuration

resource scheduling

and service optimization

and existing single-layer optimization methods are difficult to effectively handle inter-layer dependencies. To address this issue

a multi-level intelligent decision optimization framework for 6G satellite Internet is proposed. First

a three-layer decision model covering constellation deployment

resource scheduling

and service optimization is constructed

and inter-layer information interaction and constraint transfer mechanisms are established. Then

a hybrid intelligent algorithm based on improved genetic algorithm

convex optimization decomposition

and multi-agent deep reinforcement learning is designed

and multi-level coordinated optimization is achieved through alternating direction method of multipliers. Finally

the framework performance is verified based on MATLAB simulation platform. Experimental results show that compared with traditional hierarchical optimization and heuristic algorithms

the framework improves system capacity

spectrum efficiency

and QoS satisfaction by (8.6±1.2)%

(10.8±1.3)%

and (6.5±0.8)%

respectively.

关键词

Keywords

references

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