Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL). However, the existing work on DL based JSCC usually trains the designed network to operate under a specific signal-to-noise ratio (SNR) regime,...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 32; H. 4; S. 2315 - 2328
Hauptverfasser:	Xu, Jialong, Ai, Bo, Chen, Wei, Yang, Ang, Sun, Peng, Rodrigues, Miguel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	attention mechanism Channel coding Coding Compression ratio Decoding deep learning deep neural network Image coding Image transmission Joint source channel coding Resource allocation Signal to noise ratio Source coding Training Transform coding Wireless communication Wireless communications
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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