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Fehenberger T, Alvarado A, Bayvel P, et al. On achievable rates for long-haul fiber-optic communications. Opt Express. 2015;23(7):9183-91doi: 10.1364/OE.23.009183.
Fehenberger, T., Alvarado, A., Bayvel, P., & Hanik, N. (2015). On achievable rates for long-haul fiber-optic communications. Optics express, 23(7), 9183-91. https://doi.org/10.1364/OE.23.009183
Fehenberger, Tobias, et al. "On achievable rates for long-haul fiber-optic communications." Optics express vol. 23,7 (2015): 9183-91. doi: https://doi.org/10.1364/OE.23.009183
Fehenberger T, Alvarado A, Bayvel P, Hanik N. On achievable rates for long-haul fiber-optic communications. Opt Express. 2015 Apr 06;23(7):9183-91. doi: 10.1364/OE.23.009183. PMID: 25968752.
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Opt Express. 2015 Apr 06;23(7):9183-91. doi: 10.1364/OE.23.009183.

On achievable rates for long-haul fiber-optic communications.

Optics express

Tobias Fehenberger, Alex Alvarado, Polina Bayvel, Norbert Hanik

PMID: 25968752 DOI: 10.1364/OE.23.009183

Abstract

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 are presented. Extensive numerical simulations are used to quantify how changes in the optical transmitter, receiver, and channel affect the achievable transmission rates of the system. Special emphasis is put to the use of different quadrature amplitude modulation formats, channel spacings, digital back-propagation schemes and probabilistic shaping. The advantages of using MI over the prevailing Q-factor as a figure of merit of coded optical systems are also highlighted.

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