论文标题
元视图中的移动性意识到优化
Mobility Aware Optimization in the Metaverse
论文作者
论文摘要
结合移动增强现实（MAR）（MAR）的元应用应用程序通过将虚拟化与物理世界合并，从而提供了混合和沉浸式的体验。值得注意的是，由于它们的多模式性，因此在能源消耗，计算和缓存资源方面，需要有效地支持参与用户和丰富背景内容的前景相互作用。在本文中，将元服务分解并锚定在5G和超越网络中的合适的边缘缓存/计算节点，以实现有效处理带有目标AROS的背景元区域模型。为此，提出了一个联合优化问题，该问题明确考虑了用户的物理移动性，服务分解以及服务延迟，用户感知质量和功耗之间的平衡。一系列的数值调查表明，提出的计划可以提供最佳的决策，并且优于其他忽略用户移动性的名义基线方案，并且不考虑服务分解。
Metaverse applications that incorporate Mobile Augmented Reality (MAR) provide mixed and immersive experiences by amalgamating the virtual with the physical world. Notably, due to their multi-modality such applications are demanding in terms of energy consumption, computing and caching resources to efficiently support foreground interactions of participating users and rich background content. In this paper, the metaverse service is decomposed and anchored at suitable edge caching/computing nodes in 5G and beyond networks to enable efficient processing of background metaverse region models embedded with target AROs. To achieve that, a joint optimization problem is proposed, which explicitly considers the user physical mobility, service decomposition, and the balance between service delay, user perception quality and power consumption. A wide set of numerical investigations reveal that, the proposed scheme could provide optimal decision making and outperform other nominal baseline schemes which are oblivious of user mobility as well as do not consider service decomposition.
