Emergent Mind

Abstract

Virtual Reality (VR) streaming enables end-users to seamlessly immerse themselves in interactive virtual environments using even low-end devices. However, the quality of the VR experience heavily relies on Wi-Fi performance, since it serves as the last hop in the network chain. Our study explore the intricate interplay between Wi-Fi and VR traffic, drawing upon empirical data and leveraging a simulator tailored to VR traffic patterns. In this work we further evaluate Wi-Fi's suitability for VR streaming in terms of the quality of service it provides. In particular, we employ Unity Render Streaming to remotely stream real-time VR gaming content over Wi-Fi 6 using WebRTC, leveraging a server physically located at the network's edge, near the end user. Our findings demonstrate the system's sustained network performance, showcasing minimal round-trip time and jitter at 60 and 90 fps. In addition, we uncover the characteristics and patterns of the generated traffic streams, unveiling a surprising video transmission approach inherent to WebRTC-based services. This approach involves the fragmentation of video frames into discrete batches of packets, transmitted at regular intervals regardless of the targeted frame rate.This segmentation mechanism maintains consistent video packet delays across video frame rates but leads to increased Wi-Fi airtime consumption at higher frame rates. The presented results demonstrate that shortening the interval between batches is advantageous as it improves Wi-Fi efficiency and reduces delays in delivering complete frames.

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