VR/AR Immersive Communication: Caching, Edge Computing, and Transmission Trade-Offs

Jacob Chakareski
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引用次数: 88

Abstract

We study the delivery of 360°-navigable videos to 5G VR/AR wireless clients in future cooperative multi-cellular systems. A collection of small-cell base stations interconnected via back-haul links are sharing their caching and computing resources to maximize the aggregate reward they earn by serving 360° videos requested by VR/AR wireless clients. We design an efficient representation method to construct the 360° videos such that they only deliver the remote scene viewpoint content genuinely needed by the VR/AR user, thereby overcoming the present highly inefficient approach of sending a bulky 360° video, whose major part comprises scene information never accessed by the user. Moreover, we design an optimization framework that allows the base stations to select cooperative caching/rendering/streaming strategies that maximize the aggregate reward they earn when serving the users, for the given caching/computational resources at each base station. We formulate the problem of interest as integer programming, show its NP-hardness, and derive a fully-polynomial-time approximation solution with strong performance guarantees. Our advances demonstrate orders of magnitude operational efficiency gains over state-of-the-art caching and 360° video representation mechanisms and are very promising. This is a first-of-its-kind study to explore fundamental trade-offs between caching, computing, and communication for emerging VR/AR applications of broad societal impact.
VR/AR沉浸式通信:缓存、边缘计算和传输权衡
我们研究了在未来的合作多蜂窝系统中向5G VR/AR无线客户端交付360°可导航视频。一组通过回程链路相互连接的小蜂窝基站正在共享它们的缓存和计算资源,以最大限度地提高它们通过提供VR/AR无线客户端请求的360°视频而获得的总回报。我们设计了一种高效的表示方法来构建360°视频,使其只传递VR/AR用户真正需要的远程场景视点内容,从而克服了目前发送大量360°视频的低效方法,这些视频的主要部分包含用户从未访问过的场景信息。此外,我们设计了一个优化框架,允许基站选择合作缓存/渲染/流策略,最大化他们在服务用户时获得的总奖励,为每个基站给定的缓存/计算资源。我们将感兴趣的问题表述为整数规划,证明了它的np -硬度,并导出了一个具有强性能保证的全多项式时间近似解。我们的进展表明,与最先进的缓存和360°视频表示机制相比,操作效率提高了几个数量级,非常有前景。这是一项开创性的研究,旨在探索具有广泛社会影响的新兴VR/AR应用中缓存、计算和通信之间的基本权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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