Wireless Semantic Transmission via Revising Modules in Conventional Communications

Understand

Semantic communication has become a popular research area due its high spectrum efficiency and error-correction performance.

• Some studies use deep learning to extract semantic features, which usually form end-to-end semantic communication systems and are hard to address the varying wireless environments.
• Therefore, the novel semantic-based coding methods and performance metrics have been investigated and the designed semantic systems consist of various modules as in the conventional communications but with improved functions.
• This article discusses recent achievements in the state-of-art semantic communications exploiting the conventional modules in wireless systems.