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 …

By transmitting task-related information only, semantic communications yield significant
performance gains over conventional communications. However, the lack of mature …

The integration of semantic communication with Internet of Things (IoT) technologies has
advanced the development of Semantic IoT (SIoT), with edge mobile networks playing an …

Semantic communication, emerging as a breakthrough beyond the classical Shannon
paradigm, aims to convey the essential meaning of source data rather than merely focusing …

The new applications surge with the rapid evolution of the mobile communications. The
explosive growth of the data traffic aroused by the new applications has posed great …

Reconfigurable intelligent surfaces (RISs) are programmable metasurfaces capable of
optimizing signal strength and reducing interference, serving as key components in …

Image textual transforms can be much smaller than JPEGs with comparable degrees of
semantic similarity to the original image. Using human semantic satisfaction scores, we …

Deep reinforcement learning (RL) has emerged as a transformative technology for
addressing intricate radio resource allocation problems in both 5G and 6G networks …

The proliferation of real-time networked control applications presents significant challenges
to current wireless communication networks, owing to the demanding real-time requirements …