Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation

Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation

Automatic modulation classification (AMC) is an essential factor in dynamic spectrum access to fulfill the spectrum demand of 5G wireless communications for achieving high data rate and low latency. Many deep learning (DL)-based AMC methods have achieved improved accuracy for classifying analog modu...

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Bibliographic Details
Main Authors: Myung Chul Park, Dong Seog Han
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic modulation classification
cognitive radio
deep learning
modulation
neural networks
orthogonal frequency-division multiplexing (OFDM)
Online Access:https://ieeexplore.ieee.org/document/9505673/

Internet

https://ieeexplore.ieee.org/document/9505673/

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