Deep Neural Network (DNN) for Efficient User Clustering and Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks

Deep Neural Network (DNN) for Efficient User Clustering and Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks

Non-orthogonal multiple access (NOMA) emerges as a promising candidate for 5G, which radically alters the way users share the spectrum. In the NOMA system, user clustering (UC) becomes another research issue as grouping the users on different subcarriers with different power levels has a significant...

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Bibliographic Details
Main Authors: S. Prabha Kumaresan, Chee Keong Tan, Yin Hoe Ng
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Symmetry
Subjects:
deep neural network
non-orthogonal multiple access
throughput maximization
user clustering
machine learning
Online Access:https://www.mdpi.com/2073-8994/13/8/1507

Internet

https://www.mdpi.com/2073-8994/13/8/1507

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