Innovating Multi-user Volumetric Video Streaming through Cross-layer Design

Innovating Multi-user Volumetric Video Streaming through Cross-layer Design
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DOI:
10.1145/3484266.3487396
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发表时间:
2021-11
期刊:
Proceedings of the 20th ACM Workshop on Hot Topics in Networks
影响因子:
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通讯作者:
Ding Zhang;Bo Han;Parth H. Pathak;Haoliang Wang
Ding Zhang;Bo Han;Parth H. Pathak;Haoliang Wang
中科院分区:
其他
文献类型:
--
作者:
Ding Zhang;Bo Han;Parth H. Pathak;Haoliang Wang

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尽管现有的工作已经证明了将体积内容流式传输给单个用户的可行性,但是存在许多吸引人的应用(例如,课堂教育和协作设计),其涉及同时观看相同体积内容的多个用户。在本文中,我们首先进行了一个缩放实验,以展示高质量的体积视频流传输到多个用户的挑战,并揭示了视口相似性的机会,我们可以利用它来有效地优化网络资源利用率使用多播毫米波。然后,我们制定了一个整体的研究议程,以提高性能和质量的体验,多用户体积视频流在商品设备上。我们提出的研究包括联合视口预测和阻塞缓解多个用户,多播分组的视口相似性的基础上,定制毫米波波束设计高效多播,毫米波感知多用户视频速率自适应。最后,我们讨论了开放的挑战,建立一个实用的系统与建议的研究路线图。
Although existing work has demonstrated the feasibility of streaming volumetric content to a single user, there exist many appealing applications (e.g., classroom education and collaborative design) that involve multiple users who watch the same volumetric content simultaneously. In this paper, we first perform a scaling experiment to demonstrate the challenges of streaming high-quality volumetric videos to multiple users and reveal the viewport-similarity opportunity that we can leverage to effectively optimize the network resource utilization using multicast over mmWave. We then develop a holistic research agenda for improving the performance and quality of experience for multi-user volumetric video streaming on commodity devices. Our proposed research includes joint viewport prediction and blockage mitigation for multiple users, multicast grouping based on viewport similarity, customized mmWave beam design for efficient multicast, and mmWave-aware multi-user video rate adaptation. Finally, we discuss the open challenges of building a practical system with the proposed research roadmap.