OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels

We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-based learning methods, we combine an autoencoder with orthogonal frequency division multiplexing (OFDM) to cope with multi...

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Vydáno v:	IEEE transactions on cognitive communications and networking Ročník 8; číslo 2; s. 584 - 599
Hlavní autoři:	Yang, Mingyu, Bian, Chenghong, Kim, Hun-Seok
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Channel coding Channel estimation Channels Coders Codes Deep learning deep neural networks Equalization Error correcting codes Fading Fading channels Image coding Image quality Image transmission Joint source channel coding model-driven machine learning OFDM Orthogonal Frequency Division Multiplexing Training Wireless communication
ISSN:	2332-7731, 2332-7731
On-line přístup:	Získat plný text
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