Semantic communication (SC) is an effective approach to communicate reliably with minimal
data transfer while simultaneously providing seamless connectivity. In this paper, a novel …

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

Tor the past few years, the Semantic Web has been enjoying significant investment, mostly
through research but to a lesser extent through start-ups and commercial projects. A major …

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 …

This work designs a novel semantic communication (SemCom) framework for the next-
generation wireless network to tackle the challenges of unnecessary transmission of vast …

This letter proposes a semantic importance-aware communication (SIAC) scheme using pre-
trained language models (eg, ChatGPT, BERT, etc.). Specifically, we propose a cross-layer …

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

Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for
various future applications like metaverse, mixed reality, and the Internet of everything …

Directly sending audio signals from a transmitter to a receiver across a noisy channel may
absorb consistent bandwidth and be prone to errors when trying to recover the transmitted …

Recently, the ever-increasing demand for bandwidth in multi-modal communication systems
requires a paradigm shift. Powered by deep learning, semantic communications are applied …