Optimal Mobility Aware Wireless Edge Cloud Support for the Metaverse
Zhaohui Huang, Vasilis Friderikos

TL;DR
This paper proposes a flexible resource allocation scheme for mobile augmented reality in the metaverse, optimizing service delay and energy consumption by considering user mobility, terminal capabilities, and background content caching.
Contribution
It introduces a joint optimization framework that accounts for user mobility, terminal capabilities, and background content caching to improve service latency and energy efficiency in metaverse AR applications.
Findings
Proposed scheme reduces service delay compared to baseline methods.
Enhanced energy efficiency achieved through optimized resource allocation.
Better handling of user mobility and terminal capabilities improves overall performance.
Abstract
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…
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Taxonomy
TopicsCaching and Content Delivery · IoT and Edge/Fog Computing · Advanced Wireless Communication Technologies
