activity
20152022
most citedEnd-to-end Deep Learning of Optical Fiber Communications

429 citations · 806 across the 12 of their papers we have counts for

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Showing cs.ITShow all

7 papers · 1 filter

cs.IT2022★ 1 cited

Distributed Transmission and Spatially Coupled Forward Error Correction in Regenerative Multipoint-to-Point Networks

Laurent Schmalen, Tobias A. Eriksson, Fred Buchali +2

We investigate the performance of coded modulation for multi-hop regenerative optical networks. We analyze options for computing decoder input LLRs, show reach increases by optimiz…

cs.IT2018★ 10 cited

Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning

Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov +4

In this paper, an unsupervised machine learning method for geometric constellation shaping is investigated. By embedding a differentiable fiber channel model within two neural netw…

cs.IT2018

Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities

Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov +1

A new geometric shaping method is proposed, leveraging unsupervised machine learning to optimize the constellation design. The learned constellation mitigates nonlinear effects wit…

cs.IT2018★ 429 cited

End-to-end Deep Learning of Optical Fiber Communications

Boris Karanov, Mathieu Chagnon, Félix Thouin +5

In this paper, we implement an optical fiber communication system as an end-to-end deep neural network, including the complete chain of transmitter, channel model, and receiver. Th…

cs.IT2018★ 19 cited

Exploring and Experimenting with Shaping Designs for Next-Generation Optical Communications

Fanny Jardel, Tobias A. Eriksson, Cyril Méasson +4

A class of circular 64-QAM that combines 'geometric' and 'probabilistic' shaping aspects is presented. It is compared to square 64-QAM in back-to-back, single-channel, and WDM tran…

cs.IT2017★ 185 cited

Applying Neural Networks in Optical Communication Systems: Possible Pitfalls

Tobias A. Eriksson, Henning Bülow, Andreas Leven

We investigate the risk of overestimating the performance gain when applying neural network based receivers in systems with pseudo random bit sequences or with limited memory depth…

cs.IT2015★ 65 cited

Impact of 4D channel distribution on the achievable rates in coherent optical communication experiments

Tobias A. Eriksson, Tobias Fehenberger, Peter A. Andrekson +3

We experimentally investigate mutual information and generalized mutual information for coherent optical transmission systems. The impact of the assumed channel distribution on the…