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We investigate methods for experimental performance enhancement of auto-encoders based on a recurrent neural network (RNN) for communication over dispersive nonlinear channels.
G. Agrawal, Fiber-optic Communication Systems
2010
Earlier work this paper cites.
Z. Wang, “Super-FEC codes for 40/100 Gbps networking,” IEEE Commun. Lett. , vol. 16, no. 12, pp. 2056–2059, 2012
2012
Earlier work this paper cites.
I. Goodfellow, Y. Bengio and A. Courville, Deep Learning
2016
Earlier work this paper cites.
C. Jiang et al
2017
Earlier work this paper cites.
T. O’Shea and J. Hoydis, “An introduction to deep learning for the physical layer,” IEEE Trans. Cogn. Commun. Netw
2017
Earlier work this paper cites.
T. Eriksson, H. Bülow, and A. Leven, “Applying neural networks in optical communication systems: possible pitfalls,” IEEE Photon. Technol. Lett
2017
Earlier work this paper cites.
N. Stojanovic, F. Karinou, Z. Qiang and C. Prodaniuc, “Volterra and Wiener equalizers for short-reach 100G PAM-4 Applications,” J. Lightw. Technol
2017
Earlier work this paper cites.
O. Simeone, “A very brief introduction to machine learning with applications to communication systems,” IEEE Trans. Cogn. Commun. Netw
2018
Earlier work this paper cites.
Danish Rafique and Luis Velasco, ”Machine Learning for Network Automation: Overview, Architecture, and Applications,” J. Opt. Commun. Netw
2018
Cited alongside, same era.
C. Häger and H. Pfister, “Nonlinear interference mitigation via deep neural networks,” in Proc. of OFC
2018
Cited alongside, same era.
N. Farsad and A. Goldsmith, “Neural network detection of data sequences in communication systems,” IEEE Trans. Signal Process
2018
Cited alongside, same era.
S. Dörner, S. Cammerer, J. Hoydis and S. ten Brink, “Deep learning-based communication over the air,” IEEE J. Sel. Topics Signal Process
2018
Cited alongside, same era.
B. Karanov et al
2018
Cited alongside, same era.
F. N. Khan, Q. Fan, C. Lu and A. P. T. Lau, “An optical communication’s perspective on machine learning and its applications,” J. Lightw. Technol
2019
Later among the works it cites.
B. Karanov, D Lavery, P. Bayvel and L. Schmalen, “End-to-end optimized transmission over dispersive intensity-modulated channels using bidirectional recurrent neural networks,” Opt. Express
2019
Later among the works it cites.
B. Karanov et al
2019
Later among the works it cites.
M. Chagnon, “Optical communications for short reach,” J. Lightw. Technol
2019
Later among the works it cites.
D. van Veen and V. Houtsma, ”Strategies for economical next-generation 50G and 100G passive optical networks,” J. Opt. Commun. Netw
2020
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B. Karanov et al
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2018
Cited alongside, same era.
R. T. Jones, M. P. Yankov and D. Zibar, “Deep learning of geometric constellation shaping including fiber nonlinearities,” in Proc. of ECOC
2018
Cited alongside, same era.
2020
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B. Karanov et al
2020
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