Realizing the Metaverse in the 6G Era with AI-Enabled Network Orchestration
Document Type
Article
Publication Title
IEEE Network
Abstract
The advancements in computational capabilities, communication, and data management technologies, have accelerated the realization of the metaverse vision. Extended Reality (XR) technology facilitates an immersive virtual world to enable new social experiences. The 6G communication and networking infrastructure is a significant enabler for the metaverse experience. Interactive immersive applications require the exchange of massive amounts of data with minimal delay to achieve optimal synchronization, precision, and accuracy across metaverse participants. Based on a combination of real and virtual objects, these interactive immersive applications will exchange huge amounts of data across the participants (e.g., biometric information). Thus, dynamic computing resources are one crucial challenge to be handled. This represents a main challenge to network management systems. This article presents an intelligent and flexible architecture that enables dynamic end-To-end orchestration of the available network and computing resources. It incorporates the advancements in cloud and edge computing together with contemporary Artificial Intelligence (Al) techniques, such as Deep Learning (DL) and Federated Learning (FL), to dynamically fine-Tune the allocation and monitoring of network resources. The proposed solution adapts Al near the end-user for prompt application-specific resource allocation, data caching, and mobility management. The article also provides an open discussion of some of the challenges and future directions of metaverse orchestration when applying 6G.
First Page
78
Last Page
85
DOI
10.1109/MNET.002.2200271
Publication Date
3-1-2023
Keywords
Deep learning, Virtual reality
Recommended Citation
M. Aloqaily, O. Bouachir, I. A. Ridhawi and M. Guizani, "Realizing the Metaverse in the 6G Era with AI-Enabled Network Orchestration," in IEEE Network, vol. 37, no. 2, pp. 78-85, March/April 2023, doi: 10.1109/MNET.002.2200271.
Additional Links
DOI link: https://doi.org/10.1109/MNET.002.2200271
Comments
IR Deposit conditions:
OA version (pathway a) Accepted version
No embargo
When accepted for publication, set statement to accompany deposit (see policy)
Must link to publisher version with DOI
Publisher copyright and source must be acknowledged