Adaptive Deep Joint Source-Channel Coding for One-to-Many Wireless Image Transmission

Deep learning based joint source-channel coding (DJSCC) has recently made significant progress and emerged as a potential solution for future wireless communication. However, there are still several crucial issues that necessitate further in-depth exploration to enhance the efficiency of DJSCC, such...

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Bibliographic Details
Published in:	IEEE transactions on broadcasting Vol. 71; no. 3; pp. 914 - 929
Main Authors:	Luo, Lei, He, Ziyang, Wu, Junjie, Guo, Hongwei, Zhu, Ce
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Bandwidth bandwidth adaptability Bandwidths Channel coding Coding Complexity Deep joint source-channel coding gradient normalization Image coding Image communication Image reconstruction Image transmission Modules neighboring attention Source coding Time-varying channels Training Wireless communication Wireless communications
ISSN:	0018-9316, 1557-9611
Online Access:	Get full text
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