TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM

The practical deployment of deep joint source-channel coding (DJSCC) in edge devices faces two critical limitations. First, the prohibitive computational complexity of deep neural networks hinders efficiency. Second, existing OFDM-based systems suffer from bandwidth inefficiency due to dedicated pil...

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Veröffentlicht in:	IEEE access Jg. 13; S. 150244 - 150257
Hauptverfasser:	Xu, Man, Lam, Chan-Tong, Liang, Yuanhui, Ng, Benjamin, Yuan, Xiaochen, Im, Sio-Kei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Bandwidth Bandwidths Channel coding Channel estimation Coding Complexity Computational complexity Computational modeling Computer architecture Datasets Decomposition Deep joint source-channel coding Efficiency Floating point arithmetic Fourier transforms in-band pilots Neural networks OFDM Orthogonal Frequency Division Multiplexing Singular value decomposition Spectral efficiency Symbols tensorized convolutional neural network Tensors
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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