We introduce a new semantic communication mechanism-SemanticRL, whose key idea is to
preserve the semantic information instead of strictly securing the bit-level precision. Unlike …

Spurred by a huge interest in the post-Shannon communication, it has recently been shown
that leveraging semantics can significantly improve the communication effectiveness across …

Modern communications are usually designed to pursue a higher bit-level precision and
fewer bits while transmitting a message. This article rethinks these two major features and …

Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …

Recently, machine learning (ML) has shown its effectiveness in improving communication
efficiency by reinstating the semantics of bits. To understand its underlying principles, we …

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

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 …

Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …

In this paper, a semantic communication framework is proposed for wireless networks. In the
proposed framework, a base station (BS) extracts the semantic information from textual data …

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