State Transition Graph-Based Spatial–Temporal Attention Network for Cell-Level Mobile Traffic Prediction

State Transition Graph-Based Spatial–Temporal Attention Network for Cell-Level Mobile Traffic Prediction

Mobile traffic prediction enables the efficient utilization of network resources and enhances user experience. In this paper, we propose a state transition graph-based spatial–temporal attention network (STG-STAN) for cell-level mobile traffic prediction, which is designed to exploit the underlying...

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Bibliographic Details
Main Authors:	Jianrun Shi, Leiyang Cui, Bo Gu, Bin Lyu, Shimin Gong
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Sensors
Subjects:	mobile traffic prediction graph neural network attention mechanism long short-term memory
Online Access:	https://www.mdpi.com/1424-8220/23/23/9308

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