NOMA Codebook Optimization by Batch Gradient Descent

NOMA Codebook Optimization by Batch Gradient Descent

The non-orthogonal multiple access (NOMA) has the potential to improve the spectrum efficiency and the user connectivity compared to the orthogonal schemes. The codebook design is crucial for the the performance of the NOMA system. In this paper, we comprehensively investigate the NOMA codebook desi...

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Bibliographic Details
Main Authors: Zhongwei Si, Shaoguo Wen, Bing Dong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Batch gradient descent
codebook optimization
neural network
non-orthogonal multiple access
pairwise error probability
Online Access:https://ieeexplore.ieee.org/document/8807159/

Internet

https://ieeexplore.ieee.org/document/8807159/

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