Semantic communication is an emerging research area that has gained a wide range of
attention recently. Despite this growing interest, there remains a notable absence of a …

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

Diffusion models (DM) can gradually learn to remove noise, which have been widely used in
artificial intelligence generated content (AIGC) in recent years. The property of DM for …

In the coming sixth generation (6G) communication era, to provide seamless and ubiquitous
connections, the space-air-ground-sea integrated network (SAGSIN) is envisioned to …

Recent advances in AI technologies have notably expanded device intelligence, fostering
federation and cooperation among distributed AI agents. These advancements impose new …

Diffusion models (DM) can gradually learn to re-move noise, which have been widely used
in artificial intelligence generated content (AIGC) in recent years. The property of DM for …

In this paper, a deep learning-based cooperative semantic communication system is
proposed on relay channels. In order to enhance the reliability and adaptability of the system …

Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have
recently achieved remarkable performance for wireless image transmission. However, these …

The concept of Digital Twin has recently emerged, which requires the transmission of a
massive amount of sensor data with low latency and high reliability. Analog error correction …

The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in
recent years has promoted the evolution of mobile networking and the future Internet toward …