As one novel approach to realize end-to-end wireless image semantic transmission, deep
learning-based joint source-channel coding (deep JSCC) method is emerging in both deep …

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

Semantic communications (SemCom) have emerged as a new paradigm for supporting sixth-
generation applications, where semantic features of data are transmitted using artificial …

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 …

Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have
recently achieved remarkable performance for wireless image transmission. However, these …

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 …

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 …

Recent progress in semantic communication has shown potential in improving transmission
efficiency by the removal of signal-level redundancies. However, existing semantic …