Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding

With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G) networks need to support new AI tasks such as classification and clustering apart from data recovery. Motivated by the success of deep learning, the semantic-aware and task-oriented communications with de...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 23; H. 8; S. 8388 - 8404
Hauptverfasser:	Lyu, Zhonghao, Zhu, Guangxu, Xu, Jie, Ai, Bo, Cui, Shuguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Channel coding Classification Clustering Data mining Data recovery deep joint source and channel coding (JSCC) Deep learning Edge artificial intelligence (AI) Error reduction Feature extraction Image coding Image quality Labels Logic gates Machine learning Maximization Optimization semantic communications Semantics Task analysis task-oriented communications
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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