Evaluation Framework for Real-Time Adaptive 360-Degree Video Streaming over 5G Networks

Abstract

The end-to-end distribution of real-time 360-degree video needs to be evaluated in a wholesome manner, considering all aspects from video capture to encoding, delivery, and playback, as well as timely and appropriate analytics, with a focus on end-user Quality of Experience (QoE). This requires a measurement framework which allows for the collection of metrics from multiple dimensions at the same time. In this work, we propose such a framework for evaluating real-time adaptive 360\degree video streaming over an experimental Fifth Generation (5G) network, which allows for the investigation of different aspects of the end-to-end video delivery chain.