M5: Facilitating Multi-User Volumetric Content Delivery with Multi-Lobe Multicast over mmWave
M5: Facilitating Multi-User Volumetric Content Delivery with Multi-Lobe Multicast over mmWave
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DOI：
10.1145/3560905.3568540
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Ding Zhang;Puqi Zhou;Bo Han;Parth H. Pathak
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作者：
Ding Zhang;Puqi Zhou;Bo Han;Parth H. Pathak
多用户容量内容交付可以实现许多有吸引力的应用，例如在线教育，远程医疗，多用户AR/VR培训，沉浸式协作分析等。然而，容量视频流的带宽密集型特性使得现有的单用户体验系统难以扩展到多用户场景。为了解决这一关键问题，在本文中，我们首先在mmWave网络上进行扩展实验，该网络提供所需的多Gbps吞吐量，并确定向多个用户传输高质量体积视频的两个关键挑战：mmWave链路的频繁阻塞和用户之间的高传输冗余。为了解决这些问题，我们提出了一个首创的，敏捷的，跨层的系统，被称为M5，用于提高多用户体积视频流的性能和体验质量。M5利用用户的6DoF运动预测来主动调整毫米波波束和预取帧，以减轻阻塞效应。此外，它利用多播传输的优势，在用户的视口内提供重叠的公共内容，以减少带宽需求。我们在真实的测试平台上和轨迹驱动模拟器上进行的广泛实验表明，与最先进的系统相比，M5可以有效地将帧速率提高44.1%，将体积视频质量提高62.3%。
Multi-user volumetric content delivery can enable numerous appealing applications, such as online education, telehealth, multiuser AR/VR training, immersive collaborative analytics, etc. However, the bandwidth-intensive nature of volumetric video streaming makes existing systems for single-user experiences hard to scale to multi-user scenarios. To address this critical issue, in this paper, we first perform a scaling experiment on mmWave networks that offer the needed multi-Gbps throughput and identify two key challenges of streaming high-quality volumetric videos to multiple users: frequent blockages of mmWave links and high transmission redundancy among users. To solve these problems, we propose a first-of-its-kind, agile, and cross-layer system, dubbed M5, for improving the performance and quality of experience for multi-user volumetric video streaming. M5 utilizes the 6DoF motion prediction of users to proactively adapt mmWave beams and prefetch frames to mitigate the blockage effects. Furthermore, it takes advantage of the multicast transmission to deliver the overlapped common content within users' viewports to reduce the bandwidth requirement. Our extensive experiments on a real testbed and with a trace-driven simulator show that M5 can effectively improve the frame rate by 44.1% and volumetric video quality by 62.3% compared to the state-of-the-art system.