In learning-based semantic communications, neural networks have replaced different
building blocks in traditional communication systems. However, the digital modulation still …

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 …

In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-
adaptive digital semantic communications. In semantic communication systems with digital …

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

Powered by deep learning, semantic communication is an intelligent communication
paradigm, aiming to transmit useful information in the semantic domain. In most existing …

Semantic communication has become a widely researched area due to its high spectrum
efficiency and error correction capabilities. Some studies used deep learning to extract …

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

Semantic communications are expected to become the core new paradigms of the sixth
generation (6G) wireless networks. Most existing works implicitly utilize channel information …

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 …

Recently, semantic communications are envisioned as a key enabler of future 6G networks.
Back to Shannon's information theory, the goal of communication has long been to …