移动边缘协同多用户360°视频计算和流媒体

Jacob Chakareski, Nicholas Mastronarde
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引用次数: 0

摘要

我们研究了一种新型的通信系统,该系统集成了可扩展的多层360°视频平铺,视口自适应速率失真优化资源分配,以及以VR为中心的边缘计算和缓存,以实现未来高质量的不受约束的VR流。我们的系统包括一组5G小单元,可以汇集它们的通信、计算和存储资源,共同向移动VR客户端提供更高质量的可扩展360°视频内容。我们的主要贡献是严格设计多层360°平铺和统计用户导航的相关模型,分析和优化基于边缘的多用户VR流,集成视口适应和服务器合作。我们还探讨了网络编码数据操作的可能性及其对本文所追求的分析、优化和系统性能的影响。我们在提供沉浸式保真度方面取得了相当大的进步,具有更高的360°视口峰值信噪比(PSNR)和VR视频帧率和空间分辨率。
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Mobile-Edge Cooperative Multi-User 360° Video Computing and Streaming
We investigate a novel communications system that integrates scalable multi-layer 360° video tiling, viewport-adaptive rate-distortion optimal resource allocation, and VR-centric edge computing and caching, to enable future high-quality untethered VR streaming. Our system comprises a collection of 5G small cells that can pool their communication, computing, and storage resources to collectively deliver scalable 360° video content to mobile VR clients at much higher quality. Our major contributions are rigorous design of multi-layer 360° tiling and related models of statistical user navigation, and analysis and optimization of edge-based multi-user VR streaming that integrates viewport adaptation and server cooperation. We also explore the possibility of network coded data operation and its implications for the analysis, optimization, and system performance we pursue here. We demonstrate considerable gains in delivered immersion fidelity, featuring much higher 360° viewport peak signal to noise ratio (PSNR) and VR video frame rates and spatial resolutions.
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