The integration of the space information network (SIN) with terrestrial infrastructures has been attracting significant attention in the context of 5G, where satellite communications can be leveraged as additional capabilities such as backhauling between the core network and remote mobile edge sites. However, simple addition of SIN capabilities to terrestrial 5G does not automatically lead to enhanced service performance without systematic scheduling of coexisting resources. In this article, we focus on the scenario of multi-link video streaming over both parallel geostationary Earth orbit (GEO) satellite and terrestrial 5G backhaul links for enhancing user quality of experience and network efficiency. The distinct challenge is the complex optimization of scheduling video segment delivery via two parallel channels with very different characteristics while striving to enhance the video quality and resource optimality. We carried out systematic experiments based on a real-life 5G testing framework with integrated GEO satellite and terrestrial backhaul links. The experimental results demonstrate the effectiveness of our proposed 5G edge-computing-based solution for holistically achieving assured user experiences and optimized network resource efficiency in terms of video traffic offloading.

中文翻译：

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通过集成空间和地面 5G 网络进行 QoE 感知视频流


空间信息网络 (SIN) 与地面基础设施的集成在 5G 背景下引起了广泛关注，其中卫星通信可用作附加功能，例如核心网络和远程移动边缘站点之间的回程。然而，如果没有对共存资源进行系统调度，简单地将 SIN 功能添加到地面 5G 中并不会自动带来服务性能的增强。在本文中，我们重点关注通过并行地球静止轨道 (GEO) 卫星和地面 5G 回程链路进行多链路视频流的场景，以提高用户体验质量和网络效率。独特的挑战是通过两个特性截然不同的并行通道调度视频片段传输的复杂优化，同时努力提高视频质量和资源优化。我们基于具有集成 GEO 卫星和地面回程链路的现实 5G 测试框架进行了系统实验。实验结果证明了我们提出的基于 5G 边缘计算的解决方案的有效性，可以在视频流量卸载方面全面实现有保证的用户体验和优化的网络资源效率。