While semantic communication succeeds in efficiently transmitting due to the strong
capability to extract the essential semantic information, it is still far from the intelligent or …

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 …

Deep learning-empowered semantic communication is regarded as a promising candidate
for future 6G networks. Although existing semantic communication systems have achieved …

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

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

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 …

The task-oriented semantic communication sys-tems have achieved significant performance
gain, however, the paradigm that employs a model for a specific task might be limited, since …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …

In recent years, with the rapid development of deep learning and natural language
processing technologies, semantic communication has become a topic of great interest in …