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 …

We consider cooperative semantic text communications facilitated by a relay node. We
propose two types of semantic forwarding: semantic lossy forwarding (SLF) and semantic …

In this paper, we propose a semantic communication scheme for wireless relay channels
based on Autoencoder, named AESC, which encodes and decodes sentences from the …

With the development of sixth generation (6G) networks, semantic communication is treated
as an emerging technology to provide more intelligent communication between two parties …

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

In order to achieve reliable information delivery over long distance or high path loss
attenuations, semantic communication (SC) on multi-hop relay networks is investigated …

Semantic communications have shown great potential to boost the end-to-end transmission
performance. To further improve the system efficiency, in this paper, we propose a class of …

Semantic communication has sparked great interest, due to the rising demands of emerging
applications on high communication capacity and low latency. The majority of existing …

With the ability to improve transmission efficiency, deep learning-enabled semantic
communication is regarded as a promising candidate for future 6G networks. Most existing …

Semantic communication has shown great potential in boosting the effectiveness and
reliability of communications. However, its systems to date are mostly enabled by deep …