信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2019, Vol. 45 ›› Issue (12): 21-25.

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基于人工智能的固定宽带网络性能分析模型研究

Research on performance analysis model of fixed broadband network based on artificial intelligence

  

  • 出版日期:2019-12-15 发布日期:2020-11-19
  • 作者简介:
    丁苏若涵:河南省通信管理局工程师
    王一雯:中国信息通信研究院产业与规划研究所互联网网络研究部工程师
    张爱丽:中国信息通信研究院产业与规划研究所互联网网络研究部工程师
    余文艳:中国信息通信研究院产业与规划研究所互联网网络研究部助理工程师
    赵旭:阳中国信息通信研究院产业与规划研究所互联网网络研究部助理工程师

  • Online:2019-12-15 Published:2020-11-19

摘要: 随着宽带用户数量的不断增加,人工智能技术与互联网产业在宽带网络领域的融合也不断加深,基于人工智能的固定宽带网络性能分析模型能够优化提升指标特征分析能力。通过固定宽带测速方式采集数据,基于人工智能技术,建立带宽业务判定分析算法和宽带性能瓶颈分析算法两种子模型。试验结果表明,这两种算法模型均提高了网络性能分析效率和准确度,有利于在实际项目中操作实现和推广应用。

关键词: 人工智能, 固定宽带测速, 网络性能, 用户体验

Abstract: The national broadband network performance test is an important means to measure the effectiveness of broadband construction in China.With the increasing number of broadband users, the integration of artificial intelligence technology and Internet industry in the field of broadband networks is also deepening. The performance analysis model of fixed broadband network based on artificial intelligence, can improve the analytical ability of indicator characteristics. In this paper, data is collected by fixed broadband speed measurement tools. Based on artificial intelligence technology, two sub- models are established, which are bandwidth service decision analysis algorithm and broadband performance bottleneck analysis algorithm. The experimental results show that both algorithm models improve the efficiency and accuracy of network performanceanalysis,and are beneficial to the operation and promotion of applications in practical projects.

Key words: artificial intelligence, fixed broadband speed, network performance, user experience