Joint Coding-Modulation for Digital Semantic Communications via Variational Autoencoder

Semantic communications have emerged as a new paradigm for improving communication efficiency by transmitting the semantic information of a source message that is most relevant to a desired task at the receiver. Most existing approaches typically utilize neural networks (NNs) to design end-to-end se...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 72; no. 9; pp. 5626 - 5640
Main Authors:	Bo, Yufei, Duan, Yiheng, Shao, Shuo, Tao, Meixia
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Coding Communication Communications systems Decoding Digital imaging Digital modulation Information theory Modulation mutual information Neural networks Probabilistic logic Receivers Semantic communications Semantics Symbols Transition probabilities variational autoencoder
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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