Tiled-DASH VR Video Streaming: Design and Implementation

Fenghe Hu, Hui Zhou, Yansha Deng, A. Nallanathan, H. Aghvami
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Abstract

Supporting virtual reality (VR) via cellular networks attracts increasing attention and is a promising use case in the 5G and 6G networks. to achieve this, it calls for a bandwidth-efficient video transmission protocol, where the tiled-based virtual reality video transmission with dynamic adaptive streaming over HTTP (tiled-DASH) is recommended by 3GPP. It introduces complicated system model crossing transmission and video processing subject areas. to investigate this, we build a tiled-DASH testbed with motion prediction, perform the traffic modeling, analyze the delay and bandwidth usage, and measure the performance of multiple prediction algorithms. The experimental results identify the trade-off among prediction horizontal, segment length, and bandwidth usage, which fails to be captured by literature.
平铺式dash VR视频流:设计与实现
通过蜂窝网络支持虚拟现实(VR)越来越受到关注,在5G和6G网络中是一个很有前途的用例。为了实现这一目标,它需要一种带宽高效的视频传输协议,其中3GPP建议使用基于tile的虚拟现实视频传输,并通过HTTP进行动态自适应流(tile - dash)。介绍了跨传输和视频处理学科领域的复杂系统模型。为此,我们构建了一个带有运动预测的平铺式dash测试平台,进行了流量建模,分析了延迟和带宽使用情况,并测量了多种预测算法的性能。实验结果确定了预测水平、段长度和带宽使用之间的权衡,这在文献中未能被捕获。
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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