Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

Enhanced NOMA System Using Adaptive Coding and Modulation Based on LSTM Neural Network Channel Estimation

Non-orthogonal multiple access (NOMA) is the technique proposed for multiple access in the fifth generation (5G) cellular network. In NOMA, different users are allocated different power levels and are served using the same time/frequency resource blocks (RBs). The main challenges in existing NOMA sy...

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Bibliographic Details
Main Authors: Mai AbdelMoniem, Safa M. Gasser, Mohamed S. El-Mahallawy, Mohamed Waleed Fakhr, Abdelhamid Soliman
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
adaptive coding
adaptive modulation
channel estimation
constellation rotation
cyclic-q delay
long-short term memory (LSTM)
machine learning
non-orthogonal multiple access (NOMA)
recurrent neural networks (RNNs)
Online Access:https://www.mdpi.com/2076-3417/9/15/3022

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