频谱知识图谱：面向未来频谱管理的智能引擎

孙佳琛; 王金龙; 丁国如; 陈瑾; 龚玉萍

doi:10.11959/j.issn.1000-436x.2021084

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频谱知识图谱：面向未来频谱管理的智能引擎

学术论文 | 更新时间：2024-06-06

- 频谱知识图谱：面向未来频谱管理的智能引擎
- Spectrum knowledge graph: an intelligent engine facing future spectrum management
- 通信学报 2021年42卷第5期页码：1-12
- 作者机构：
  
  陆军工程大学通信工程学院，江苏南京 210007
- 作者简介：
  
  [ "孙佳琛（1994- ），女，江苏南通人，陆军工程大学博士生，主要研究方向为频谱数据分析、无线通信、认知无线网络" ]
  [ "王金龙（1963- ），男，河北沧州人，博士，中国科学院院士，陆军工程大学教授、博士生导师，主要研究方向为短波通信、数字通信、数字信号处理、移动通信、软件无线电与认知无线电等" ]
  [ "丁国如（1986- ），男，河南新乡人，博士，陆军工程大学教授，主要研究方向为认知无线网络、大规模MIMO、机器学习、大数据分析等" ]
  [ "陈瑾（1971- ），女，福建仙游人，博士，陆军工程大学教授、博士生导师，主要研究方向为认知无线网络、分布式优化、数字信号处理等" ]
  [ "龚玉萍（1978- ），女，安徽庐江人，陆军工程大学教授，主要研究方向为短波通信、认知无线电等" ]
- 基金信息：
  
  科技创新2030−“新一代人工智能”重大项目(2018AAA0102303);国家自然科学基金资助项目(U20B2038);国家自然科学基金资助项目(61871398);国家自然科学基金资助项目(61931011);江苏省杰出青年基金资助项目(BK20190030)
- DOI：10.11959/j.issn.1000-436x.2021084
  中图分类号： TN92
- 网络首发：2021-05，
  
  纸质出版：2021-05-25
- 稿件说明：
移动端阅览
孙佳琛, 王金龙, 丁国如, 等. 频谱知识图谱：面向未来频谱管理的智能引擎[J]. 通信学报, 2021,42(5):1-12.

Jiachen SUN, Jinlong WANG, Guoru DING, et al. Spectrum knowledge graph: an intelligent engine facing future spectrum management[J]. Journal on Communications, 2021, 42(5): 1-12.
孙佳琛, 王金龙, 丁国如, 等. 频谱知识图谱：面向未来频谱管理的智能引擎[J]. 通信学报, 2021,42(5):1-12. DOI： 10.11959/j.issn.1000-436x.2021084.

Jiachen SUN, Jinlong WANG, Guoru DING, et al. Spectrum knowledge graph: an intelligent engine facing future spectrum management[J]. Journal on Communications, 2021, 42(5): 1-12. DOI： 10.11959/j.issn.1000-436x.2021084.

摘要

针对当前频谱管理中表征方式较单一、管理方式对人的经验依赖性较强、管理效率和精准度较低等问题，面向未来频谱管理的自动化、智能化、精准化需求，将知识图谱理论与技术引入频谱管理中，给出了频谱知识图谱的概念和其依赖的频谱知识体系，以及三元组形式的表示方法，构建了由图谱层、设备层和场景层构成的基于频谱知识图谱的智能频谱管理框架，探讨了基于频谱知识图谱的用频推荐、频谱搜索、频谱问答等典型应用。仿真实验表明，频谱知识图谱能在用频推荐中发挥知识引导的作用。

Abstract

To solve the issues of simple representations on spectrum situation

much dependence on artificial experience in manual management and low efficiency and accuracy in the current spectrum management

meeting the requirements of automation

precision and real time for future spectrum management

the theory and technology of knowledge graph were introduced into spectrum management.The definition of spectrum knowledge graph

the knowledge schema it depends on and its representation in the form of triples were proposed.The intelligent spectrum management framework based on spectrum knowledge graph

consisting of the graph layer

the equipment layer and the scenario layer

was constructed.Typical applications based on spectrum knowledge graph were discussed

including the recommendation system for spectrum usage

the search engine on spectrum management

and question answering for spectrum management.Experiments demonstrate the spectrum knowledge graph can play a role of guidance by spectrum knowledge in spectrum usage recommendation.

关键词

Keywords

references

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