The cumulative effects of network transmission link imperfections and real-time limitations of video data result in multiple challenges for mobile video transmission. The challenges, together with the increasing expectations of users for well-displayed videos, further extend the complexity particularly in dense areas. To address the issues and provide efficient mobile video transmission, this work proposes a model with two phases: network-related settings (NRS) and video-related settings (VRS). The NRS is related to the mobile transmission link limits and develops four separate mobile networks, including long term evolution, 802.11 ax dual-band, and 802.11 ac. The VRS, on the other hand, is related to the video real-time constraints and covers five well-known compression algorithms used in the reference video preparation process. With comprehensibility in mind, the model comprises different factors that have a profound impact on the mobile video transmission process. The model is implemented and the results determine the video delivery efficiency in terms of the network-level quality of service and service-level quality of experience. To further validate the model, a testbed is set up and the measured experimental results are compared with those of the simulation. The results establish a baseline for efficient mobile video transmission on resource constraint devices.

网络传输链路缺陷的累积影响和视频数据的实时限制给移动视频传输带来了诸多挑战。这些挑战以及用户对显示效果良好的视频的期望越来越高，进一步扩展了复杂性，尤其是在人口稠密的地区。为了解决这些问题并提供有效的移动视频传输，这项工作提出了一个具有两个阶段的模型：网络相关设置（NRS）和视频相关设置（VRS）。NRS与移动传输链路限制​​有关，并开发了四个独立的移动网络，包括长期演进，802.11 ax双频和802.11 ac。另一方面，VRS与视频实时限制有关，涵盖了参考视频准备过程中使用的五种众所周知的压缩算法。考虑到可理解性，该模型包括对移动视频传输过程产生深远影响的不同因素。该模型已实现，并且结果根据网络级服务质量和服务级体验质量确定了视频交付效率。为了进一步验证模型，建立了一个测试平台，并将测得的实验结果与仿真结果进行了比较。该结果为在资源约束设备上进行有效的移动视频传输建立了基线。为了进一步验证模型，建立了一个测试平台，并将测得的实验结果与仿真结果进行了比较。该结果为在资源约束设备上进行有效的移动视频传输建立了基线。为了进一步验证模型，建立了一个测试平台，并将测得的实验结果与仿真结果进行了比较。该结果为在资源约束设备上进行有效的移动视频传输建立了基线。