A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges

M Xu, WC Ng, WYB Lim, J Kang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

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 …

Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing

W Xu, Z Yang, DWK Ng, M Levorato… - IEEE journal of …, 2023 - ieeexplore.ieee.org
To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

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 …

Task-oriented multi-user semantic communications

H Xie, Z Qin, X Tao, KB Letaief - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
While semantic communications have shown the potential in the case of single-modal single-
users, its applications to the multi-user scenario remain limited. In this paper, we investigate …

Deep learning enabled semantic communication systems

H Xie, 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 …

Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis

J Kang, H Du, Z Li, Z Xiong, S Ma… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Semantic communication, as a promising technology, has emerged to break through the
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …

Semantic-preserved communication system for highly efficient speech transmission

T Han, Q Yang, Z Shi, S He… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

Energy efficient semantic communication over wireless networks with rate splitting

Z Yang, M Chen, Z Zhang… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …

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 …