… A channel autoencoder (AE) is one of the methods, which regards the wireless communication
system as an AE along with a channel model. In this article, we present a comprehensive …

… autoencoder, where the noisy channel in the middle corrupts the hidden representation (codeword).
Therefore, designing a reliable autoencoder … for wireless communication systems. …

… DL-based designs for the wireless communications physical layer has been studied recently…
channel autoencoder (AE), that interprets a traditional end-to-end wireless communications …

… An ADL algorithm based AE is proposed for a wireless communication interference channel
with m-user. The system is composed of m pair transceivers. Each sender encodes data by …

… However, the channels encounted in wireless communication are highly dynamic in nature,
… the endto-end communication system can be interpreted as a so-called autoencoder (AE) in …

… autoencoder based channel estimation method for Orthogonal Frequency Division multiple
access (OFDm) communication … assumed channel condition is 2 wave multipath channel with …

… impairments in the channel layer of the autoencoder and evaluating the response …
autoencoders in wireless communications to finally enable a full deep learning-based …

… , channel autoencoders are able to jointly optimize multiple layers of a communications
system … A weakness of the channel autoencoder approach has been that, for training, the deep …

… fading channels. Finally, the impact of a non-linear amplifier is investigated and we show
that the autoencoder … As each autoencoder still requires n 2 channel uses, we generate …

… AWGN channel model. In fact, under the scenario of wireless communication, the channel
… We need to train the autoencoder under an SNRfixed channel. Through several experiments…