With significant increase in data and demand for large bandwidth, the wireless research
community has identified the need to focus on 'what'to transmit rather than focusing on only …

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 …

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 …

In the swiftly advancing realm of communication technologies, semantic communication
(SemCom), which emphasizes knowledge understanding and processing, has emerged as …

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

The current wireless technology research focuses on developing a ubiquitous virtual human
society. This will result in provisioning advanced use cases/applications requiring enormous …

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

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

We consider the wireless text transmission using joint source-channel coding (JSCC).
Classical source coding only considers the syntactic information based on probabilistic …