Gradient based Information Aggregation of GNN for Precoder Learning

Employing graph neural networks (GNNs) for learning the multiuser multi-input multi-output precoder has gained significant attention recently. By modeling the precoder optimization problem in a graph format, GNN can effectively capture the representation of the precoder by leveraging the information...

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Veröffentlicht in:	IEEE Vehicular Technology Conference S. 1 - 6
Hauptverfasser:	Chen, Shiyong, Han, Shengqian, Li, Yang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.10.2023
Schlagworte:	Behavioral sciences GNN gradient descent Graph neural networks information aggregation Mathematical models Numerical models Optimization precoder Simulation Vehicular and wireless technologies
ISSN:	2577-2465
Online-Zugang:	Volltext
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