  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.
