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Simplified Deep Reinforcement Learning Approach for Channel Prediction in Power Domain NOMA System

In this work, the impact of implementing Deep Reinforcement Learning (DRL) in predicting the channel parameters for user devices in a Power Domain Non-Orthogonal Multiple Access system (PD-NOMA) is investigated. In the channel prediction process, DRL based on deep Q networks (DQN) algorithm will be...

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Detalles Bibliográficos
Autores principales: Gaballa, Mohamed, Abbod, Maysam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647647/
https://www.ncbi.nlm.nih.gov/pubmed/37960708
http://dx.doi.org/10.3390/s23219010

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