基于决策性能评估的多波束低地球轨道卫星网络资源分配算法

王朝炜; 庞明亮; 王粟; 赵玲莉; 高飞飞; 崔高峰; 王卫东

doi:10.11959/j.issn.1000-436x.2024040

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基于决策性能评估的多波束低地球轨道卫星网络资源分配算法

专题：低地球轨道卫星互联网 | 更新时间：2024-08-09

- 基于决策性能评估的多波束低地球轨道卫星网络资源分配算法
- Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation
- 通信学报 2024年45卷第7期页码：37-47
- 作者机构：
  
  1.北京邮电大学电子工程学院，北京 100875
  2.中国移动通信集团有限公司，北京 100032
  3.清华大学自动化系，北京 100084
- 作者简介：
  
  [ "王朝炜（1982- ），男，陕西西安人，博士，北京邮电大学副教授、博士生导师，主要研究方向为下一代移动通信技术、无线传感器与IoT技术等。" ]
  [ "庞明亮（1998- ），男，山东济南人，北京邮电大学博士生，主要研究方向为卫星通信、IoT和信号处理。" ]
  [ "王粟（1982- ），男，安徽霍邱人，中国移动通信集团有限公司高级工程师，主要研究方向为5G移动通信网络规划与优化等。" ]
  [ "赵玲莉（2000- ），女，河北保定人，北京邮电大学硕士生，主要研究方向为卫星通信、无线通信和资源管理。" ]
  [ "高飞飞（1980- ），男，陕西西安人，博士，清华大学长聘教授、博士生导师，主要研究方向为大规模MIMO、通感一体化等。" ]
  [ "崔高峰（1987- ），男，河南驻马店人。博士，北京邮电大学副教授、博士生导师，主要研究方向为空天通信、卫星通信、卫星网络资源管理。" ]
  [ "王卫东（1967- ），男，内蒙古包头人。博士，北京邮电大学教授、博士生导师，主要研究方向为卫星通信、移动通信、物联网等。" ]
- 基金信息：
  
  重庆市自然科学基金资助项目(CSTB2023NSCQ-LZX0118);北京邮电大学博士生创新基金资助项目(CX2023139)
- DOI：10.11959/j.issn.1000-436x.2024040
  中图分类号： TN927
- 收稿：2023-10-24，
  
  修回：2024-02-02，
  
  纸质出版：2024-07-25
- 稿件说明：
移动端阅览
王朝炜,庞明亮,王粟等.基于决策性能评估的多波束低地球轨道卫星网络资源分配算法[J].通信学报,2024,45(07):37-47.

WANG Chaowei,PANG Mingliang,WANG Su,et al.Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation[J].Journal on Communications,2024,45(07):37-47.
王朝炜,庞明亮,王粟等.基于决策性能评估的多波束低地球轨道卫星网络资源分配算法[J].通信学报,2024,45(07):37-47. DOI： 10.11959/j.issn.1000-436x.2024040.

WANG Chaowei,PANG Mingliang,WANG Su,et al.Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation[J].Journal on Communications,2024,45(07):37-47. DOI： 10.11959/j.issn.1000-436x.2024040.

摘要

为了解决多波束低地球轨道（LEO）卫星波束间同频干扰、频谱短缺、业务量分布不均等问题，针对单一决策网络缺乏自我修正能力、容易陷入局部最优解、无法充分考虑长期影响等弊端，提出了一种基于决策性能评估的资源分配算法。该算法引入不同用户的业务满足指数来衡量系统的公平性，在考虑公平性的前提下优化系统的吞吐量性能，并将该优化问题建模为多目标优化问题。将具有时间相关性的连续资源分配过程建模为马尔可夫过程，提出基于决策性能评估的网络资源分配算法来解决该问题。所提算法可以根据评估网络的评估结果调整决策网络参数，从而优化资源分配方案，同时更新评估网络自身参数。通过迭代优化的方式，实现决策网络的准确预测。仿真结果表明，所提算法在吞吐量性能和公平性方面优于传统资源分配算法。

Abstract

To address challenges such as co-frequency interference

spectrum scarcity

and uneven traffic distribution in multi-beam LEO satellites

a resource allocation algorithm based on decision performance evaluation was proposed. The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness. The optimization problem was modeled as a multi-objective optimization. The continuous resource allocation process with temporal correlation was modeled as a Markov decision process

and a decision-evaluation dual-network algorithm was proposed to solve it. The decision network parameters were adjusted based on evaluation network results to optimize resource allocation and update the evaluation network parameters. Through iterative optimization

the decision network achieved accurate predictions. Simulation results show that the proposed algorithm outperforms traditional resource allocation algorithms in terms of throughput and fairness.

关键词

Keywords

references

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