activity
20052024
most citedEnd-to-end Deep Learning of Optical Fiber Communications

429 citations · 2.1k across the 56 of their papers we have counts for

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Showing 2015 · cs.ITShow all

5 papers · 2 filters

cs.IT2015★ 81 cited

Sensitivity Gains by Mismatched Probabilistic Shaping for Optical Communication Systems

Tobias Fehenberger, Domaniç Lavery, Robert Maher +3

Probabilistic shaping of quadrature amplitude modulation (QAM) is used to enhance the sensitivity of an optical communication system. Sensitivity gains of 0.43 dB and 0.8 dB are de…

cs.IT2015★ 11 cited

A Lower Bound on the per Soliton Capacity of the Nonlinear Optical Fibre Channel

Nikita A. Shevchenko, Jaroslaw E. Prilepsky, Stanislav A. Derevyanko +3

A closed-form expression for a lower bound on the per soliton capacity of the nonlinear optical fibre channel in the presence of (optical) amplifier spontaneous emission (ASE) nois…

cs.IT2015★ 38 cited

On the Impact of Optimal Modulation and FEC Overhead on Future Optical Networks

Alex Alvarado, David J. Ives, Seb Savory +1

The potential of optimum selection of modulation and forward error correction (FEC) overhead (OH) in future transparent nonlinear optical mesh networks is studied from an informati…

cs.IT2015★ 227 cited

Replacing the Soft FEC Limit Paradigm in the Design of Optical Communication Systems

Alex Alvarado, Erik Agrell, Domanic Lavery +2

The FEC limit paradigm is the prevalent practice for designing optical communication systems to attain a certain bit-error rate (BER) without forward error correction (FEC). This p…

cs.IT2015★ 86 cited

On Achievable Rates for Long-Haul Fiber-Optic Communications

Tobias Fehenberger, Alex Alvarado, Polina Bayvel +1

Lower bounds on mutual information (MI) of long-haul optical fiber systems for hard-decision and soft-decision decoding are studied. Ready-to-use expressions to calculate the MI ar…