通信学报 ›› 2018, Vol. 39 ›› Issue (1): 1-13.doi: 10.11959/j.issn.1000-436x.2018012

• 学术论文 •    下一篇

QoE感知的FiWi视频分发机制

王汝言,杨衍,吴大鹏   

  1. 重庆邮电大学光通信与网络重点实验室,重庆 400065
  • 修回日期:2017-11-29 出版日期:2018-01-01 发布日期:2018-02-07
  • 作者简介:王汝言(1969-),男,湖北浠水人,博士,重庆邮电大学教授、博士生导师,主要研究方向为泛在网络、多媒体信息处理等。|杨衍(1992-),男,重庆人,重庆邮电大学硕士生,主要研究方向为光无线融合网络。|吴大鹏(1979-),男,黑龙江大庆人,博士,重庆邮电大学教授、博士生导师,主要研究方向为泛在网络、互联网服务质量控制等。
  • 基金资助:
    国家自然科学基金资助项目(61371097);重庆高校创新团队计划基金资助项目(CXTDX201601020);重庆市教委科学技术研究基金资助项目(KJ1401126)

QoE-aware video distribution mechanism in FiWi

Ruyan WANG,Yan YANG,Dapeng WU   

  1. Key Laboratory of Optical Communication and Networks,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Revised:2017-11-29 Online:2018-01-01 Published:2018-02-07
  • Supported by:
    The National Natural Science Foundation of China(61371097);Chongqing University Innovation Team Construction Project Funded Projects(CXTDX201601020);Chongqing Municipal Education Commission Science and Technology Research Project(KJ1401126)

摘要:

针对光无线融合网络(FiWi,fiber-wireless access network)传输能力不匹配所导致的视频业务传输不连续问题,提出一种体验质量(QoE)感知的视频分发机制。根据光无线融合网络结构特点,考虑链路状态信息及可扩展视频编码结构,建立QoE评估模型,使用粒子群算法选择最优视频传输速率;进而分析节点传输能力及节点匹配度,为业务选择传输路径,保证业务的可靠传输。结果表明,所提机制在增强用户体验质量的同时,有效地提高了网络资源利用率,降低了网络拥塞。

关键词: 光无线融合网络, 可扩展视频编码, 体验质量, 粒子群算法

Abstract:

The mismatch of transmission ability causes the discontinuous transmission of video services in fiber-wireless access network,aimed at this problem,an QoE-aware video distribution mechanism was proposed.According to the structural characteristics of fiber-wireless access network,link state information and scalable video coding structure was considered,a QoE evaluation mode was established,and the particle swarm optimization algorithm was used to select optimal video transmission rate.Then the node transmission capacity and the node matching degree was analyzed,transmission path for the services was selected,so as to ensure the reliable transmission of services.The results show that the proposed mechanism can effectively improve the utilization rate of network resources and reduce network congestion while improving the quality of the user experience.

Key words: fiber-wireless access network, scalable video coding, quality of experience, particle swarm algorithm

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