Achievable information rates for fiber optics: Applications and computations

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Abstract

In this paper, achievable information rates (AIR) for fiber optical communications are discussed. It is shown that AIRs such as the mutual information and generalized mutual information are good design metrics for coded optical systems. The theoretical predictions of AIRs are compared to the performance of modern codes including low-parity density check and polar codes. Two different computation methods for these AIRs are also discussed: Monte-Carlo integration and Gauss-Hermite quadrature. Closed-form ready-to-use approximations for such computations are provided for arbitrary constellations and the multidimensional AWGN channel. The computation of AIRs in optical experiments and simulations is also discussed.

Original languageEnglish
Article number8240991
Pages (from-to)424-439
Number of pages16
JournalJournal of Lightwave Technology
Volume36
Issue number2
DOIs
Publication statusPublished - 15 Jan 2018

Funding

Manuscript received July 26, 2017; revised October 28, 2017 and December 12, 2017; accepted December 12, 2017. Date of publication December 26, 2017; date of current version February 24, 2018. This work was supported in part by the Netherlands Organisation for Scientific Research via the VIDI Grant ICONIC (project number 15685), in part by the Technical University of Munich Graduate School Partnership Mobility Grant, and in part by the National Natural Science Foundation of China under Grant 61701155. (Corresponding author: Alex Alvarado.) A. Alvarado and F. M. J. Willems are with the Signal Processing Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands (e-mail: [email protected]; [email protected]).

Keywords

  • Achievable information rates
  • coded modulation
  • generalized mutual information
  • mutual information
  • nonlinear fiber channel

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