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We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping.
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Xiaodong Li and Leonard J Cimini, · 1997
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“Performance analysis of deliberately clipped ofdm signals,”
Hideki Ochiai and Hideki Imai, · 2002
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“Power optimized pa clipping for mimo-ofdm systems,”
Hun Seok Kim and Babak Daneshrad, · 2011
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“Learning phrase representations using rnn encoder-decoder for statistical machine translation,”
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio, · 2014
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“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin, · 2017
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“An introduction to deep learning for the physical layer,”
Timothy O’Shea and Jakob Hoydis, · 2017
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“Deep learning for wireless physical layer: Opportunities and challenges,”
Tianqi Wang, Chao-Kai Wen, Hanqing Wang, Feifei Gao, Tao Jiang, and Shi Jin, · 2017
Cited alongside, same era.
“A novel papr reduction scheme for ofdm system based on deep learning,”
Minhoe Kim, Woongsup Lee, and Dong-Ho Cho, · 2017
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“Image-to-image translation with conditional adversarial networks,”
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros, · 2017
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“Ofdm-autoencoder for end-to-end learning of communications systems,”
Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, and Stephan Ten Brink, · 2018
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“Deep learning for joint source-channel coding of text,”
Nariman Farsad, Milind Rao, and Andrea Goldsmith, · 2018
“Deep joint source-channel coding for wireless image transmission,”
Eirina Bourtsoulatze, David Burth Kurka, and Deniz Gündüz, · 2019
Later among the works it cites.
“Successive refinement of images with deep joint source-channel coding,”
David Burth Kurka and Deniz Gündüz, · 2019
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“Neural joint source-channel coding,”
Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, and Stefano Ermon, · 2019
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“Model-driven deep learning for physical layer communications,”
Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, and Zongben Xu, · 2019
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“Joint source-channel coding for gaussian sources over awgn channels using variational autoencoders,”
Yashas Malur Saidutta, Afshin Abdi, and Faramarz Fekri, · 2019
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“Deep learning in physical layer communications,”
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Cited alongside, same era.
“Deep learning for an effective nonorthogonal multiple access scheme,”
Guan Gui, Hongji Huang, Yiwei Song, and Hikmet Sari, · 2018
Cited alongside, same era.
“Comnet: Combination of deep learning and expert knowledge in ofdm receivers,”
Xuanxuan Gao, Shi Jin, Chao-Kai Wen, and Geoffrey Ye Li, · 2018
Cited alongside, same era.
“Ldpc codes,” https://github.com/tavildar/LDPC
tavildar,
Cited in the paper.
Zhijin Qin, Hao Ye, Geoffrey Ye Li, and Biing-Hwang Fred Juang, · 2019
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“Deepjscc-f: Deep joint source-channel coding of images with feedback,”
David Burth Kurka and Deniz Gündüz, · 2020
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“Infomax neural joint source-channel coding via adversarial bit flip,”
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, and Yong Yu, · 2020
Later among the works it cites.