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.
翻译:将移动增强现实(MAR)纳入移动增强现实(MAR)的等同应用通过将虚拟与实际世界相结合,提供了混合和沉浸的经验。值得注意的是,由于这些应用在能源消耗、计算和缓冲方面需要大量资源,以有效支持参与用户的地面互动和丰富的背景内容。在本文中,元服务分解并固定在5G网络和网络以外的适当边缘缓冲/计算节点上,以便能够有效地处理嵌入目标ARO的本底元区域模型。为此,提出了联合优化问题,其中明确考虑了用户的物理流动性、服务分解以及服务延迟、用户感知质量和电力消耗之间的平衡。一系列广泛的数字调查显示,拟议办法可以提供最佳决策,并优于其他无视用户流动性且不考虑服务分解的其他名义基线计划。