Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks

Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks

Delivering realistic, real-time virtual experiences in the Metaverse demands computationally intensive rendering tasks with strict latency constraints. These challenges are further intensified by dynamic behavior and heterogeneity of network resources. While traditional machine learning (ML) methods...

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Bibliographic Details
Main Authors: Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Delay-constrained computing
graph neural network
in-network computing
metaverse
real-time task offloading
mobile edge computing
Online Access:https://ieeexplore.ieee.org/document/11050417/
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https://ieeexplore.ieee.org/document/11050417/

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