QoE-driven viewport adaptation for live 360o video streaming with multicast and unicast
Abstract
Due to its capacity to deliver an immersive experience to users, 360 0 video has emerged as a crucial component of Virtual Reality (VR). Live 360-degree video streaming enhances the Quality of Experience (QoE) by allowing users to instantly adjust their Field of View (FoV) . Recent studies have proposed a viewport-adaptive 360-degree video streaming model that uses bitrate adaptation in spatial and temporal domains to utilize limited bandwidth resources efficiently. In this paper, we introduce an estimation approach for Live 360 0 video streaming using multicast and unicast over mobile networks, aiming to optimize bandwidth allocation across user groups to improve user experience by leveraging the natural diversity in network conditions and users’ fields of view. Our experimental results show that the proposed solution enhances at least 11.04% up to 24.05% in term of FoV bitrate in comparison with some existing solutions.