The burgeoning generative artificial intelligence technology offers novel insights into the
development of semantic communication (SemCom) frameworks. These frameworks hold …

Semantic communication is regarded as the breakthrough beyond the Shannon paradigm,
which transmits the semantic information only to improve the communication efficiency …

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

Semantic communication in the 6G era has been deemed a promising communication
paradigm to break through the bottleneck of traditional communications. However, its …

In this paper, a semantic communication framework for image data transmission is
developed. In the investigated framework, a set of servers cooperatively transmit image data …

Semantic communication systems have been proposed for efficient text transmissions in
recent years. However, most existing methods mainly focus on word-level recovery, which …

Traditional adaptive modulation scheme aims to maximize the spectral efficiency by
selecting the appropriate modulation scheme under the premise of perfect bit-level data …

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 …

Semantic communications learned on background knowledge bases (KBs) have been
identified as a promising technology for communications between intelligent agents. Existing …

Semantic communications are considered a promising beyond-Shannon paradigm to
reduce network traffic and increase reliability, thus making wireless networks more energy …