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A Server-Side Optimized Hybrid Multicast-Unicast Strategy for Multi-User Adaptive 360-Degree Video Streaming

机译:用于多用户自适应360度视频流的服务器端优化混合多播-单播策略

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The head-mounted display (HMD) for 360-degree videos cannot be shared by multiple users, which significantly increases the bandwidth consumption when multiple users request the same video content simultaneously. This paper proposes a server-side hybrid multicast-unicast strategy for multi-user adaptive 360-degree video streaming, aiming to ensure the overall quality of experience (QoE) of the users in a bandwidth-constrained environment. A framework is established to realise this strategy, through which the delivery mode (multicast or unicast) and the corresponding bitrate for each tile can be jointly adapted to the dynamics of users’ throughputs and field of views (FoVs). To maximize the overall QoE, a user clustering method is proposed to classify the users into several multicast clusters. Based on these clusters, we then formulate the joint delivery mode selection and rate adaptation problem as a non-linear integer programming problem which can be solved using the steepest ascent gradient algorithm. Finally, experiments are carried out to verify the performance of the proposed strategy.
机译:360度视频的头戴式显示器(HMD)不能由多个用户共享,这在多个用户同时请求相同视频内容时会显着增加带宽消耗。本文提出了一种用于多用户自适应360度视频流的服务器端混合多播-单播策略,旨在确保在带宽受限的环境中用户的整体体验质量(QoE)。建立了一个框架来实现该策略,通过该框架,可以将交付方式(多播或单播)和每个图块的相应比特率联合起来,以适应用户吞吐量和视野(FoV)的动态变化。为了使整体QoE最大化,提出了一种用户聚类方法,将用户分为几个组播集群。然后,基于这些聚类,将联合传递模式选择和速率自适应问题公式化为非线性整数规划问题,可以使用最陡峭的上升梯度算法来解决。最后,进行实验以验证所提出策略的性能。

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