Channel-Aware Deep Joint Source-Channel Coding for Multi-Task Oriented Semantic Communication

Existing deep learning (DL)-based semantic communication generally employs deep neural networks (DNNs) for semantic extraction at a fixed dimension and incorporates channel state information (CSI) to facilitate semantic transmission. However, the optimal dimension of the semantic information to tran...

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Vydané v:	IEEE wireless communications letters Ročník 14; číslo 5; s. 1521 - 1525
Hlavní autori:	Wang, Biqi, Gu, Run, Xu, Wei, Jiang, Feng, Li, Mengyu, Wang, Shen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.05.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Coding Communication Data mining Decoding deep learning Feature extraction Image reconstruction joint source and channel coding Machine learning multi-task execution Multitasking Optimization Reference signals Semantic communication Semantics Signal to noise ratio Training Vectors Visualization Wireless communications
ISSN:	2162-2337, 2162-2345
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