MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting

MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting

Abstract Accurate traffic forecasting in wireless mesh networks is critical for optimizing resource allocation and ensuring ultra-reliable low-latency communication in 6G-enabled scenarios. However, existing models often suffer from feature entanglement in sequential spatio-temporal architectures, l...

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Bibliographic Details
Main Authors: Sunlei Qian, Xiaorong Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Wireless mesh networks
6G network
Feature entanglement
Traffic forecasting
Online Access:https://doi.org/10.1038/s41598-025-01943-x
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https://doi.org/10.1038/s41598-025-01943-x

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