Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...

Abstract: Recently, various deep learning (DL) methods have effectively improved the accuracy of automatic modulation recognition (AMR). However, in practical applications, few labeled samples can be ...