We consider distributed image transmission over a noisy multiple access channel (MAC)
using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation …

We study the problem of deep joint source-channel coding (D-JSCC) for correlated image
sources, where each source is transmitted through a noisy independent channel to the …

We consider wireless transmission of images in the presence of channel output feedback.
From a Shannon theoretic perspective feedback does not improve the asymptotic end-to …

We consider low-latency image transmission over a noisy wireless channel when correlated
side information is present only at the receiver side (the Wyner-Ziv scenario). In particular …

We consider wireless transmission of images in the presence of channel output feedback, by
introducing an autoencoder-based deep joint source-channel coding (JSCC) scheme. We …

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission
of images over noisy channels, an autoencoder-based novel deep joint source-channel …

In this paper, we propose a deep neural network framework for Joint Source-Channel
Coding of an m dimensional iid Gaussian source for transmission over a single additive …

This paper presents a novel deep joint source-channel coding (DeepJSCC) scheme for
image transmission over a half-duplex cooperative relay channel. Specifically, we apply …

Benefiting from the advantage of joint source-channel coding in the finite block length
regime and the advancement of AI technologies, deep joint source channel coding (DJSCC) …

Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …