Mobile augmented reality (MAR) applications extended in the metaverse could provide mixed and immersive experiences by amalgamating the virtual and physical world. However, the joint consideration between MAR and metaverse seeks the reliable and high quality support for foreground interactions and background contents from these applications, which intensifies their consumption in energy, caching and computing resources. To tackle these challenges, a more flexible request assignment and resource allocation with more efficient processing are proposed in this paper through anchoring decomposed metaverse AR services at different edge nodes and proactively caching background metaverse region models embedded with target Augmented Reality Objects (AROs).Advanced terminals are also considered to further reduce service delay at an acceptable cost of energy consumption.We then propose and solve a joint optimization problem that explicitly considers the balance between service delay and energy consumption under the constraint of user perception quality in a mobility event.By also explicitly taking into account capabilities of user terminals, the proposed optimized scheme is compared to its terminal oblivious version in this paper. According to a wide set of numerical investigations, the proposed scheme owns advantages in service latency and energy efficiency over other nominal baseline schemes which neglect capacities of terminals, user physical mobility, service decomposition and the inherent multi modality of the metaverse MAR service.
翻译:为应对这些挑战,本文件提议通过在不同边缘节点固定分解的元反向AR服务,并通过将虚拟和物理世界合并起来,提供混合和沉浸的体验;然而,MAR和Deval之间的联合考虑,寻求为这些应用的地表互动和背景内容提供可靠和高质量的支持,以强化能源消耗、缓冲和计算资源;为应对这些挑战,本文件还提议通过在不同边缘节点固定分解的元反向AR服务以及积极主动地累积与目标增强现实物体(AROs)嵌入的本底反向区域模型,更灵活地分配和分配资源;此外,还考虑建立高级终端,以可接受的能源消耗成本进一步减少服务延迟。 我们然后提议和解决一个联合优化问题,明确考虑到服务延迟与能源消耗之间的平衡,在流动活动中,用户感知质量受到制约。 也明确考虑到用户终端的能力,拟议优化办法与本文件中的最后模糊版本相比较。