Abstract
We propose a parallel interference cancellation scheme for NOMA in millimeter-wave RAN using a convolutional neural network. Compared to conventional successive interference cancellation, significant enhancement of NOMA signal recovery and decoding are experimentally demonstrated. © 2021 The Author(s)
© 2021 The Author(s)
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