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机构地区:[1]重庆邮电大学光通信与网络重点实验室,重庆400065
出 处:《通信学报》2018年第1期1-13,共13页Journal on Communications
基 金:国家自然科学基金资助项目(No.61371097);重庆高校创新团队计划基金资助项目(No.CXTDX201601020);重庆市教委科学技术研究基金资助项目(No.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。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 op-timal video transmission rate. Then the node transmission capacity and the node matching degree was analyzed, trans-mission 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.
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
分 类 号:TP393.04[自动化与计算机技术—计算机应用技术]
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