To tackle the sub-optimization problem of the conventional block structure communication
systems, recently, a novel concept named end-to-end communication system that can …

The autoencoder concept has fostered the reinterpretation and the design of modern
communication systems. It consists of an encoder, a channel and a decoder block that …

The design and implementation of conventional communication systems are based on
strong probabilistic models and assumptions. These fixed and conventional communication …

End-to-end learning of communication systems enables joint optimization of transmitter and
receiver, implemented as deep neural network (NN)-based autoencoders, over any type of …

End-to-end deep learning for communication systems, ie, systems whose encoder and
decoder are learned, has attracted significant interest recently, due to its performance which …

Leveraging powerful deep learning techniques, the end-to-end (E2E) learning of
communication system is able to outperform the classical communication system …

When a channel model is not available, the end-to-end training of encoder and decoder on
a fading noisy channel generally requires the repeated use of the channel and of a feedback …

The existing end-to-end (E2E) wireless communication systems require fewer
communication modules and have a simple processing signal flow, compared to …

End-to-End (E2E) learning-based concept has been recently introduced to jointly optimize
both the transmitter and the receiver in wireless communication systems. Unfortunately, this …

Designing codes that combat the noise in a communication medium has remained a
significant area of research in information theory as well as wireless communications …