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 …

The emerging field semantic communication is driving the research of end-to-end data
transmission. By utilizing the powerful representation ability of deep learning models …

Semantic communications (SC) have been expected to be a new paradigm shifting to
catalyze the next generation communication, whose main concerns shift from accurate bit …

As one of the key techniques to realize semantic communications, end-to-end optimized
neural joint source-channel coding (JSCC) has made great progress over the past few …

Digital twin technology has recently gathered pace in engineering communities as it allows
for the convergence of the real structure and its digital counterpart. 3D point cloud data is a …

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 …

We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional
digital communication scheme is complemented with a generative refinement component to …

This paper introduces a vision transformer (ViT)-based deep joint source and channel
coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple …

Semantic communication is an increasingly popular framework for wireless image
transmission due to its high communication efficiency. With the aid of the joint-source-and …

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 …