Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing
This addresses resource allocation inefficiencies for Metaverse ecosystem services, but it appears incremental as it builds on existing mobile edge computing concepts.
The paper tackles inefficient resource allocation in Metaverse edge computing by introducing a new AI-based paradigm called Unified, User and Task (UUT) centered artificial intelligence, aiming to improve user experience for compute-intensive services like content creation and healthcare.
The Metaverse can be considered the extension of the present-day web, which integrates the physical and virtual worlds, delivering hyper-realistic user experiences. The inception of the Metaverse brings forth many ecosystem services such as content creation, social entertainment, in-world value transfer, intelligent traffic, healthcare. These services are compute-intensive and require computation offloading onto a Metaverse edge computing server (MECS). Existing Metaverse edge computing approaches do not efficiently and effectively handle resource allocation to ensure a fluid, seamless and hyper-realistic Metaverse experience required for Metaverse ecosystem services. Therefore, we introduce a new Metaverse-compatible, Unified, User and Task (UUT) centered artificial intelligence (AI)- based mobile edge computing (MEC) paradigm, which serves as a concept upon which future AI control algorithms could be built to develop a more user and task-focused MEC.