Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems

The use of machine learning (ML) tools to address the challenges posed in next generation of wireless communication systems has been gaining significant momentum. In this paper, we investigate the use of self-supervised data-driven schemes for precoder optimization in the downlink of a Multiple-Inpu...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Graph neural network deep learning RSMA precoding non-linearity
On-line přístup:	https://ieeexplore.ieee.org/document/11072707/
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!