Semantic communications for future internet: Fundamentals, applications, and challenges
With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …
networks will shift from a traditional architecture that focuses solely on a high transmission …
Semantics-empowered space-air-ground-sea integrated network: New paradigm, frameworks, and challenges
In the coming sixth generation (6G) communication era, to provide seamless and ubiquitous
connections, the space-air-ground-sea integrated network (SAGSIN) is envisioned to …
connections, the space-air-ground-sea integrated network (SAGSIN) is envisioned to …
Semantic communications: Principles and challenges
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …
aims at the successful transmission of semantic information conveyed by the source rather …
Deep learning enabled semantic communication systems
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 …
to merge all physical layer blocks in the traditional communication systems, which make joint …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Generative AI-driven semantic communication networks: Architecture, technologies and applications
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …
demonstrating significant potential in creating diverse content intelligently and automatically …
Deep learning enabled semantic communications with speech recognition and synthesis
In this paper, we develop a deep learning based semantic communication system for
speech transmission, named DeepSC-ST. We take the speech recognition and speech …
speech transmission, named DeepSC-ST. We take the speech recognition and speech …
Robust semantic communications with masked VQ-VAE enabled codebook
Although semantic communications have exhibited satisfactory performance on a large
number of tasks, the impact of semantic noise and the robustness of the systems have not …
number of tasks, the impact of semantic noise and the robustness of the systems have not …
Task-oriented image transmission for scene classification in unmanned aerial systems
The vigorous developments of the Internet of Things make it possible to extend its computing
and storage capabilities to computing tasks in the aerial system with the collaboration of …
and storage capabilities to computing tasks in the aerial system with the collaboration of …
Rethinking modern communication from semantic coding to semantic communication
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 …
fewer bits while transmitting a message. This article rethinks these two major features and …