With the advent of the 6G era, the concept of semantic communication has attracted
increasing attention. Compared with conventional communication systems, semantic …

Recently, deep learned enabled end-to-end (E2E) communication systems have been
developed to merge all physical layer blocks in the traditional communication systems …

Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

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 …

With the development of deep learning (DL), natural language processing (NLP) makes it
possible for us to analyze and understand a large amount of language texts. Accordingly, we …

Recently, semantic communication has been brought to the forefront because deep learning
(DL)-based methods, such as Transformer, have achieved great success in semantic …

Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

We consider the wireless text transmission using joint source-channel coding (JSCC).
Classical source coding only considers the syntactic information based on probabilistic …

With the deployment of the fifth generation (5G) in many countries, people start to think about
what the next-generation of wireless communications will be. The current communication …

Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …