用语义通信降低元宇宙传输延迟，提升画质体验。
Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
- 用关键语义信息替代原始数据传输，减少带宽压力。
- 实测在差信道下延迟降低96.05%，画质提升43.99%。
- 适合研究低延迟沉浸式服务与云边端协同架构的开发者。
随着技术进步和对新型视听体验的追求，元宇宙日益受到关注。然而，高分辨率虚拟场景等大量数据在云端与VR设备间传输面临现实挑战：无线带宽不足导致传输速度慢、延迟高；信道质量差引发数据错误，恶化用户体验。为此，本文提出语义通信驱动的云-边-端协同沉浸式元宇宙服务架构（SC-CEE-Meta），包含三部分：VR视频语义传输、视频合成与3D虚拟场景重建。通过在VR设备与边缘服务器部署语义模块，仅传输关键语义信息而非逐比特重构，有效降低延迟，缓解资源与带宽冲突，并增强抗干扰能力。云端负责视频合成与3D场景预处理，边缘设备运行3D重建渲染模块，实现沉浸式服务。在Meta Quest Pro上验证，该架构在恶劣信道下可使无线传输延迟降低96.05%，图像质量提升43.99%。
原文摘要 · Abstract (English)
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.
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