With the paradigm shift from traditional communication systems to machine learning-driven
communication systems, deep learning-based semantic communication is considered as a …

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 …

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

Deep learning-empowered semantic communication is regarded as a promising candidate
for future 6G networks. Although existing semantic communication systems have achieved …

With a significant increase in the data and demand for large bandwidth, the wireless
research community has identified the need to pay attention to transmitting the context rather …

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 communications can significantly improve transmission efficiency, especially in the
low signal-to-noise (SNR) regime. However, two-way semantic communications still remain …

In recent years, numerous achievements have been made in the field of deep learning,
particularly in text processing. In the wave of intelligence, people's demand for intelligent …

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

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …