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arXiv:2506.10001v1 (cs)
[Submitted on 8 Mar 2025 ]

Title: Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure

Title: 语义通信赋能的云边端协作元宇宙服务架构

Authors:Yuxuan Li, Sheng Jinag, Bizhu Wang
Abstract: With technology advancing and the pursuit of new audiovisual experiences strengthening, the metaverse has gained surging enthusiasm. However, it faces practical hurdles as substantial data like high-resolution virtual scenes must be transmitted between cloud platforms and VR devices. Specifically, the VR device's wireless transmission hampered by insufficient bandwidth, causes speed and delay problems. Meanwhile, poor channel quality leads to data errors and worsens user experience. To solve this, we've proposed the Semantic Communication-Enabled Cloud-Edge-End Collaborative Immersive Metaverse Service (SC-CEE-Meta) Architecture, which includes three modules: VR video semantic transmission, video synthesis, and 3D virtual scene reconstruction. By deploying semantic modules on VR devices and edge servers and sending key semantic info instead of focusing on bit-level reconstruction, it can cut latency, resolve the resource-bandwidth conflict, and better withstand channel interference. Also, the cloud deploys video synthesis and 3D scene reconstruction preprocessing, while edge devices host 3D reconstruction rendering modules, all for immersive services. Verified on Meta Quest Pro, the SC-CEE-Meta can reduce wireless transmission delay by 96.05\% and boost image quality by 43.99\% under poor channel condition.
Abstract: 随着技术进步和对全新视听体验的追求增强,元宇宙获得了极大的关注。然而,它面临着实际的障碍,因为像高分辨率虚拟场景这样的大量数据必须在云平台和虚拟现实设备之间传输。 具体来说,由于带宽不足,虚拟现实设备的无线传输受阻,导致速度和延迟问题。 同时,糟糕的信道质量会导致数据错误并恶化用户体验。 为了解决这些问题,我们提出了语义通信赋能的云边端协同沉浸式元宇宙服务(SC-CEE-Meta)架构,该架构包括三个模块:虚拟现实视频语义传输、视频合成以及三维虚拟场景重建。 通过在虚拟现实设备和边缘服务器上部署语义模块,并发送关键语义信息而不是专注于比特级重建,可以减少延迟、解决资源与带宽冲突的问题,并更好地抵御信道干扰。 此外,云平台部署了视频合成和三维场景重建预处理,而边缘设备则托管了三维重建渲染模块,所有这些都旨在提供沉浸式服务。 在Meta Quest Pro上的验证结果显示,SC-CEE-Meta可以在恶劣的信道条件下将无线传输延迟降低96.05%,并将图像质量提升43.99%。
Comments: arXiv admin note: text overlap with arXiv:2407.13764 by other authors
Subjects: Multimedia (cs.MM) ; Artificial Intelligence (cs.AI)
Cite as: arXiv:2506.10001 [cs.MM]
  (or arXiv:2506.10001v1 [cs.MM] for this version)
  https://doi.org/10.48550/arXiv.2506.10001
arXiv-issued DOI via DataCite

Submission history

From: Yuxuan Li [view email]
[v1] Sat, 8 Mar 2025 19:07:52 UTC (20,511 KB)
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