基于时空关联表征的空天地一体化网络资源精准管控方法

买天乐; 姚海鹏; 忻向军; 杨景凯; 靳辰朗

doi:10.11959/j.issn.2096-8930.2024014

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基于时空关联表征的空天地一体化网络资源精准管控方法

专题：面向巨型星座的大尺度星地融合组网技术 | 更新时间：2024-08-06

- 基于时空关联表征的空天地一体化网络资源精准管控方法
- Spatiotemporal Correlation Representation based Precise Resource Management in Space-Air-Ground Integrated Network
- 天地一体化信息网络 2024年5卷第2期页码：34-42
- 作者机构：
  
  1. 北京理工大学信息与电子学院，北京 100081
  2. 北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
  
  [ "买天乐（1994− ），男，北京理工大学博士后，在IEEE TCC、IEEE TON、IEEE TSC等学术期刊发表多篇学术论文，相关研究成果获IEEE ICC、IEEE IWCMC最佳论文奖等，主要研究方向为空天地一体化网络、无人集群网络、网络人工智能、多智能体系统等" ]
  [ "姚海鹏（1983− ），男，北京邮电大学教授，在学术期刊和会议上发表论文150余篇，担任IEEE TMC 和 IEEE T-SUSC 期刊 Associate Editor，主要研究方向为未来网络架构、网络人工智能、空天地一体化网络、网络资源分配和专用网络等" ]
  [ "忻向军（1969− ），男，北京理工大学教授，在学术期刊和会议上发表论文100余篇，主要研究方向为光通信、卫星通信等" ]
  [ "杨景凯（1996− ），男，北京邮电大学博士生，主要研究方向为未来网络架构、网络资源分配和多智能体系统" ]
  [ "靳辰朗（2000− ），女，北京邮电大学博士生，主要研究方向为未来网络架构、资源优化和博弈论等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(62325203);国家自然科学基金资助项目;The National Natural Science Foundation of China(U22B2033);国家重点研发计划资助项目;National Key Research ＆ Development Program of China(2022YFB2902500)
- DOI：10.11959/j.issn.2096-8930.2024014
  中图分类号： TP393
- 网络出版日期：2024-06，
  
  纸质出版日期：2024-06-20
- 稿件说明：
移动端阅览
买天乐, 姚海鹏, 忻向军, 等. 基于时空关联表征的空天地一体化网络资源精准管控方法[J]. 天地一体化信息网络, 2024,5(2):34-42.

Tianle MAI, Haipeng YAO, Xiangjun XIN, et al. Spatiotemporal Correlation Representation based Precise Resource Management in Space-Air-Ground Integrated Network[J]. Space-integrated-ground information networks, 2024, 5(2): 34-42.
买天乐, 姚海鹏, 忻向军, 等. 基于时空关联表征的空天地一体化网络资源精准管控方法[J]. 天地一体化信息网络, 2024,5(2):34-42. DOI： 10.11959/j.issn.2096-8930.2024014.

Tianle MAI, Haipeng YAO, Xiangjun XIN, et al. Spatiotemporal Correlation Representation based Precise Resource Management in Space-Air-Ground Integrated Network[J]. Space-integrated-ground information networks, 2024, 5(2): 34-42. DOI： 10.11959/j.issn.2096-8930.2024014.

摘要

空天地一体化网络中，资源分布不均匀且随时间动态变化。传统基于静态资源表征的优化调度方法仅在单个时间片上进行调度优化，资源利用率低，并且在网络变化时需频繁地重新调整策略，带来较大迁移成本。为解决这一问题，提出一种空天地一体化网络资源时空关联表征方法。该方法通过在网络的结构邻域和时序邻域两个维度计算节点注意力表征，实现对空天地一体化网络资源时空关联关系的精准建模。在此基础上，提出基于时空关联表征的网络资源精准映射方法，采用置信域策略梯度优化方法，对算法参数进行自适应学习与优化。

Abstract

In the space-air-ground integrated network

resources are unevenly distributed and dynamically change over time.Traditional optimization scheduling methods based on static resource representation only optimize scheduling within a single time slot

leading to low resource utilization.Moreover

frequent strategy adjustments are required when the network changes

resulting in significant migration costs.To address this issue

this paper proposed a method for spatiotemporal correlation representation of resources in the space-air-ground integrated network.This method computed node attention representations in both structural neighborhoods and chronological neighborhoods

enabled precise modeling of spatiotemporal resource correlations in the space-air-ground integrated network.Based on this

this paper proposed a resource precise embedding method based on spatiotemporal correlation representation

and introduced the trust region policy optimization method to adaptively learn and optimize algorithm parameters.

关键词

Keywords

references

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