Semantic communications for future internet: Fundamentals, applications, and challenges

W Yang, H Du, ZQ Liew, WYB Lim… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

Semantics-empowered space-air-ground-sea integrated network: New paradigm, frameworks, and challenges

S Meng, S Wu, J Zhang, J Cheng… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
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 …

Semantic communications: Principles and challenges

Z Qin, X Tao, J Lu, W Tong, GY Li - arxiv preprint arxiv:2201.01389, 2021 - arxiv.org
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …

Deep learning enabled semantic communication systems

H **e, Z Qin, GY Li, BH Juang - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
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 …

What is semantic communication? A view on conveying meaning in the era of machine intelligence

Q Lan, D Wen, Z Zhang, Q Zeng, X Chen… - Journal of …, 2021 - ieeexplore.ieee.org
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 …

Generative AI-driven semantic communication networks: Architecture, technologies and applications

C Liang, H Du, Y Sun, D Niyato, J Kang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field
demonstrating significant potential in creating diverse content intelligently and automatically …

Deep learning enabled semantic communications with speech recognition and synthesis

Z Weng, Z Qin, X Tao, C Pan, G Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Robust semantic communications with masked VQ-VAE enabled codebook

Q Hu, G Zhang, Z Qin, Y Cai, G Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Task-oriented image transmission for scene classification in unmanned aerial systems

X Kang, B Song, J Guo, Z Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Rethinking modern communication from semantic coding to semantic communication

K Lu, Q Zhou, R Li, Z Zhao, X Chen… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
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 …