无线蜂窝网络中的视频测量及传输机制研究
发布时间：2019-05-08 06:50
【摘要】：近年来,移动终端的视频流量发生爆炸式的增长。思科研究报告预测移动终端视频流量将会在2020年超过电脑视频流量,甚至会占据全网络流量的82%。在LTE无线网络环境中视频流量占总流量的比率已经达到了 40%,而且这个数字还在持续增加。因此,研究用户在移动终端上的视频体验具有理论和社会价值。用户在移动终端上的用户体验既与视频传输本身的特征有关,还受电池容量的限制。用户观看视频的行为会给移动终端带来巨大的电量消耗,直接制约着用户的观看时间,从而影响用户的观看体验。本论文首先通过实际网络测量数据分析移动终端用户观看视频的行为特点和用户体验,在此基础上提出两种针对无线蜂窝网络的视频传输机制,这两种机制可以降低移动终端观看视频的电量,提高用户观看体验。本文主要内容如下:(1)根据大量的某视频应用日志统计分析视频数据。首先,对用户观看视频使用的移动设备信息进行了统计,包括屏幕大小、分辨率、内存大小、电池容量、价格。其次,统计了用户观看视频的行为特征,包括用户选择的视频编码速率、网络类型、用户观看视频长度及观看时间、用户的视频完成率等。最后,对影响视频中断的因素进行了统计分析。(2)提出一种叫做"等长度能量感知视频块选择机制"的视频传输机制,基本思想是在设计视频块大小时需要考虑如下因素:无线蜂窝网络的网卡的Tail状态监听模式带来的浪费电量;由于用户提前离开导致的无效的数据传输。该机制将建立一个数学模型,该模型给出了一个视频块的大小的计算方法。数值结果分析表明采用这种机制下载视频可以降低上述两种因素导致的耗电量。(3)提出一种叫做"变长度能量感知视频块选择机制"的视频传输机制,基本思想是:根据实际的网络测量数据发现,用户继续观看视频的时间分布将随着已经观看的时间发生变化;在此基础上,视频块的大小应该随着用户已经观看的时间发生变化。根据这个观察,该机制建立了一个数学模型,在给定用户已经观看的时间长度条件下,该模型将得出一个下载视频块长度的序列。本机制通过数值对比分析实验,证明了在相同的用户观看行为条件下可以节约更多的电量。
[Abstract]:In recent years, video traffic in mobile terminals has exploded. The Cisco study predicts that mobile video traffic will exceed computer video traffic by 2020, or even 82 percent of network-wide traffic. The ratio of video traffic to total traffic in the LTE wireless network has reached 40 percent, and that number continues to increase. Therefore, it is of theoretical and social value to study the video experience of users on mobile terminals. The user experience on the mobile terminal is not only related to the characteristics of the video transmission itself, but also limited by the battery capacity. The behavior of watching video will bring huge power consumption to the mobile terminal, which directly restricts the viewing time of the user, and thus affects the viewing experience of the user. Firstly, this paper analyzes the behavior characteristics and user experiences of mobile end-users watching video through the actual network measurement data, and then proposes two video transmission mechanisms for wireless cellular networks, based on which, two video transmission mechanisms for wireless cellular networks are proposed. These two mechanisms can reduce the power of mobile terminals to watch video and improve the user viewing experience. The main contents of this paper are as follows: (1) Statistical analysis of video data based on a large number of video application logs. First, the mobile device information used by users to watch video is counted, including screen size, resolution, memory size, battery capacity, and price. Secondly, the behavior characteristics of users watching video are analyzed, including the video coding rate, network type, the length and time of watching video, and the completion rate of video. Finally, the factors affecting video interruption are statistically analyzed. (2) A video transmission mechanism called "equal-length energy-sensing video block selection mechanism" is proposed. The basic idea is to consider the following factors when designing the video block size: the waste of power caused by the Tail state monitoring mode of the network card in the wireless cellular network; Invalid data transfer due to early departure of the user. This mechanism will establish a mathematical model, which gives a calculation method of the size of a video block. Numerical results show that the power consumption caused by these two factors can be reduced by using this mechanism. (3) A video transmission mechanism called variable-length energy-sensing video block selection mechanism is proposed. The basic idea is as follows: according to the actual network measurement data, the distribution of time for users to continue watching video will change with the time that they have watched; On this basis, the size of the video block should change with the time the user has watched. Based on this observation, the mechanism establishes a mathematical model. Given the length of time the user has watched, the model will obtain a sequence of download video block lengths. Through numerical comparison and analysis experiments, this mechanism proves that it can save more electricity under the same user viewing behavior.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
本文编号：2471696
[Abstract]:In recent years, video traffic in mobile terminals has exploded. The Cisco study predicts that mobile video traffic will exceed computer video traffic by 2020, or even 82 percent of network-wide traffic. The ratio of video traffic to total traffic in the LTE wireless network has reached 40 percent, and that number continues to increase. Therefore, it is of theoretical and social value to study the video experience of users on mobile terminals. The user experience on the mobile terminal is not only related to the characteristics of the video transmission itself, but also limited by the battery capacity. The behavior of watching video will bring huge power consumption to the mobile terminal, which directly restricts the viewing time of the user, and thus affects the viewing experience of the user. Firstly, this paper analyzes the behavior characteristics and user experiences of mobile end-users watching video through the actual network measurement data, and then proposes two video transmission mechanisms for wireless cellular networks, based on which, two video transmission mechanisms for wireless cellular networks are proposed. These two mechanisms can reduce the power of mobile terminals to watch video and improve the user viewing experience. The main contents of this paper are as follows: (1) Statistical analysis of video data based on a large number of video application logs. First, the mobile device information used by users to watch video is counted, including screen size, resolution, memory size, battery capacity, and price. Secondly, the behavior characteristics of users watching video are analyzed, including the video coding rate, network type, the length and time of watching video, and the completion rate of video. Finally, the factors affecting video interruption are statistically analyzed. (2) A video transmission mechanism called "equal-length energy-sensing video block selection mechanism" is proposed. The basic idea is to consider the following factors when designing the video block size: the waste of power caused by the Tail state monitoring mode of the network card in the wireless cellular network; Invalid data transfer due to early departure of the user. This mechanism will establish a mathematical model, which gives a calculation method of the size of a video block. Numerical results show that the power consumption caused by these two factors can be reduced by using this mechanism. (3) A video transmission mechanism called variable-length energy-sensing video block selection mechanism is proposed. The basic idea is as follows: according to the actual network measurement data, the distribution of time for users to continue watching video will change with the time that they have watched; On this basis, the size of the video block should change with the time the user has watched. Based on this observation, the mechanism establishes a mathematical model. Given the length of time the user has watched, the model will obtain a sequence of download video block lengths. Through numerical comparison and analysis experiments, this mechanism proves that it can save more electricity under the same user viewing behavior.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
【引证文献】
相关硕士学位论文 前1条
1 王璐;无线网络的视频测量和内容感知的带宽分配机制研究[D];北京交通大学;2018年
，本文编号：2471696
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2471696.html
