Deep-Learning-Aided Cross-Layer Resource Allocation of OFDMA/NOMA Video Communication Systems

Deep-Learning-Aided Cross-Layer Resource Allocation of OFDMA/NOMA Video Communication Systems

In previous study, deep learning and autoencoder have been applied for data detection of NOMA systems, rather than the resource allocation of OFDMA/NOMA systems. In previous work, we proposed the use of non-deep-learning-based cross-layer resource allocation for OFDMA/NOMA video communication system...

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Bibliographic Details
Main Authors: Shu-Ming Tseng, Yung-Fang Chen, Cheng-Shun Tsai, Wen-Da Tsai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep neural network
supervised learning
multi-label classification
application layer
physical layer
OFDMA
Online Access:https://ieeexplore.ieee.org/document/8886366/

Internet

https://ieeexplore.ieee.org/document/8886366/

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