Low-latency video streaming over 5G has become rapidly popular over the last few years due to its increased usage in hosting virtual events, online education, webinars, and all-hands meetings. Our work aims to address the absence of studies that reveal the real-world behavior of low-latency video streaming. To that end, we provide an experimental methodology and measurements, collected in a US metropolitan area over a commercial 5G network, that correlates application-level QoE and lower-layer metrics on the devices, such as RSRP, RSRQ, handover records, etc., under both static and mobility scenarios. We find that RAN-side information, which is readily available on every cellular device, has the potential to enhance throughput estimation modules of video streaming clients, ultimately making low-latency streaming more resilient against network perturbations and handover events.

翻译：由于在虚拟活动、在线教育、网络研讨会及全体会议中的广泛应用，5G低延迟视频流在过去几年间迅速普及。本研究旨在填补当前缺乏揭示低延迟视频流真实世界行为的空白。为此，我们提出了一套实验方法及测量数据——该数据采集自美国某大都市商业5G网络，在静态与移动场景下将应用层体验质量（QoE）与设备端低层指标（如RSRP、RSRQ、切换记录等）进行关联分析。研究发现，每个蜂窝设备均可获取的无线接入网（RAN）侧信息，有望增强视频流客户端的吞吐量估算模块，最终使低延迟视频流对网络扰动和切换事件更具鲁棒性。