Environment-driven mmWave Beamforming for Multi-user Immersive Applications

Environment-driven mmWave Beamforming for Multi-user Immersive Applications
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DOI:
10.1145/3615452.3617945
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发表时间:
2023-10
期刊:
Proceedings of the 1st ACM Workshop on Mobile Immersive Computing, Networking, and Systems
影响因子:
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通讯作者:
Ahmad Kamari;Nan Wu;Hemant Kumar Narsani;Bo Han;Parth Pathak
Ahmad Kamari;Nan Wu;Hemant Kumar Narsani;Bo Han;Parth Pathak
中科院分区:
其他
文献类型:
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作者:
Ahmad Kamari;Nan Wu;Hemant Kumar Narsani;Bo Han;Parth Pathak

文献摘要

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本意见书探讨了在毫米波(mmWave)WLAN上为多个用户提供高质量沉浸式立体视频流的挑战和机遇。虽然以前的大多数工作都集中在单用户流媒体上,但对多用户沉浸式应用(如虚拟协作,课堂教育,电话会议等)的需求日益增长。虽然毫米波无线链路可以提供每秒数千兆位的数据速率,但它们会受到阻塞和高波束成形开销的影响。本文探讨了环境驱动的方法来应对这些挑战。它提出了一个全面的研究议程,包括开发一个协作的3D场景重建过程,材料识别,光线跟踪,阻塞缓解和跨层多用户视频速率自适应。我们的初步结果显示了可行性,并确定现有解决方案的局限性。最后,我们讨论了开放的挑战,实施一个实用的系统的基础上提出的研究议程。
This position paper explores the challenges and opportunities for high-quality immersive volumetric video streaming for multiple users over millimeter-wave (mmWave) WLANs. While most of the previous work has focused on single-user streaming, there is a growing need for multi-user immersive applications such as virtual collaboration, classroom education, teleconferencing, etc. While mmWave wireless links can provide multi-gigabit per second data rates, they suffer from blockages and high beamforming overhead. This paper investigates an environment-driven approach to address the challenges. It presents a comprehensive research agenda that includes developing a collaborative 3D scene reconstruction process, material identification, ray tracing, blockage mitigation, and cross-layer multi-user video rate adaptation. Our preliminary results show the feasibility and identify the limitations of existing solutions. Finally, we discuss the open challenges of implementing a practical system based on the proposed research agenda.