In this paper, we propose a class of high-efficiency deep joint source-channel coding
methods that can closely adapt to the source distribution under the nonlinear transform, it …

Recent works have shown that joint source-channel coding (JSCC) schemes using deep
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …

Semantic communications is considered a promising technology that will increase the
efficiency of next-generation communication systems, particularly human-machine and …

Semantic communication is a newly emerged communication paradigm that exploits deep
learning (DL) models to realize communication processes like source coding and channel …

In this paper, we design a new class of high-efficiency deep joint source-channel coding
methods to achieve end-to-end video transmission over wireless channels. The proposed …

Semantic communications has received growing interest since it can remarkably reduce the
amount of data to be transmitted without missing critical information. Most existing works …

This paper presents the Generative Adversarial Networks (GANs)-based image semantic
coding, the goal of which is semantic exchange rather than symbol transmission. State-of …

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 …

We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …

Semantic communications have emerged as a new paradigm for improving communication
efficiency by transmitting the semantic information of a source message that is most relevant …