Deep Learning-Aided Multicarrier Systems
This paper proposes a deep learning (DL)-aided multicarrier (MC) system operating on fading channels, where both modulation and demodulation blocks are modeled by deep neural networks (DNNs), regarded as the encoder and decoder of an autoencoder (AE) architecture, respectively. Unlike existing AE-ba...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Transactions on Wireless Communications
2021
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| Online Access: | https://ieeexplore.ieee.org/document/9271932 https://dlib.phenikaa-uni.edu.vn/handle/PNK/1777 |
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