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 …

In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-
adaptive digital semantic communications. In semantic communication systems with digital …

In learning-based semantic communications, neural networks have replaced different
building blocks in traditional communication systems. However, the digital modulation still …

Although semantic communications have exhibited satisfactory performance on a large
number of tasks, the impact of semantic noise and the robustness of the systems have not …

Modern communications are usually designed to pursue a higher bit-level precision and
fewer bits while transmitting a message. This article rethinks these two major features and …

Although analog semantic communication systems have received considerable attention in
the literature, there is less work on digital semantic communication systems. In this letter, we …

Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …

Recent deep learning methods have led to increased interest in solving high-efficiency end-
to-end transmission problems. These methods, we call nonlinear transform source-channel …

Although the semantic communications have exhibited satisfactory performance in a large
number of tasks, the impact of semantic noise and the robustness of the systems have not …

Semantic communication has witnessed a great progress with the development of natural
language processing (NLP) and deep learning (DL). Although existing semantic …