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作 者:姜堃 JIANG Kun(Science and Technology Information Research Institute,Beijing Zhongke Tongzhou Technology Co.Ltd.,Beijing 100020,China)
机构地区:[1]北京中科同舟科技有限公司科创信息研究院,北京100020
出 处:《计算机系统应用》2024年第1期263-271,共9页Computer Systems & Applications
摘 要:高铁逐渐成为流行的出行选择,高铁途中用户对流媒体服务有着较高的需求.但是高速移动场景下用户带宽抖动严重、用户的媒体体验难以得到保障.为此,本文提出了一种基于DASH协议的跨层流媒体自适应云协同传输优化方法.首先提出了一个基于DASH协议的跨层流媒体自适应云协同传输架构,并提出一个高铁环境下用户的QoE模型.在此基础上构建了基于DASH的跨层流媒体自适应云协同传输的优化模型,并提出了基于DASH协议的跨层流媒体云协同自适应码率选取算法,提升用户的媒体体验.最后仿真实验结果表明,本文提出的方法能很好地提高高铁用户的媒体体验,有助于高速移动场景下流媒体优化传输的研究.High-speed rail(HSR)has gradually become a popular travel option,and passengers have high demand for streaming media services during HSR travel.However,in high-speed mobile scenarios,user bandwidth jitter is severe,and user media experience cannot be guaranteed.To this end,a cross-layer optimization method for adaptive cloud collaborative transmission of streaming media,based on DASH protocol,is proposed in this study.Firstly,a cross-layer architecture for adaptive cloud cooperative transmission of streaming media,based on DASH protocol,is proposed,and a QoE model for users in high-speed rail environment is suggested.Next,on this basis,a cross-layer optimization model for adaptive cloud collaborative transmission of streaming media,based on DASH protocol,is constructed,and a cross-layer adaptive bitrate selection algorithm for cloud collaborative transmission of streaming media,based on DASH protocol,is proposed to improve the user’s media experience.Finally,the simulation experiment results show that the method proposed in this study can greatly improve the media experience of HSR passengers,and is helpful for the optimization study of the transmission of streaming media in high-speed mobile scenarios.
分 类 号:U29-39[交通运输工程—交通运输规划与管理] TN919.8[交通运输工程—道路与铁道工程]
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