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

In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …

Semantic communication is a new paradigm that exploits deep learning models to enable
end-to-end (E2E) communications processes, and recent studies have shown that it can …

Semantic communications (SC) have been expected to be a new paradigm shifting to
catalyze the next generation communication, whose main concerns shift from accurate bit …

As one of the key techniques to realize semantic communications, end-to-end optimized
neural joint source-channel coding (JSCC) has made great progress over the past few …

Recently, semantic communication has been investigated to boost the performance of end-
to-end image transmission systems. However, existing semantic approaches are generally …

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 …

To accommodate new applications such as extended reality, fully autonomous vehicular
networks and the metaverse, next generation wireless networks are going to be subject to …

Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …

Semantic communication is increasingly viewed as a promising solution to improve the
transmission efficiency. However, semantic communications are susceptible not only to …