Achievable Information Rates for Fiber Optics: Applications and Computations

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 perform...

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Bibliographic Details
Published in:Journal of lightwave technology 2018-01, Vol.36 (2), p.424-439
Main Authors: Alvarado, Alex, Fehenberger, Tobias, Chen, Bin, Willems, Frans M. J.
Format: Article
Language:English
Subjects:
Achievable information rates
Adaptive optics
coded modulation
Computation
Computer simulation
Constellations
Decoding
Fiber optics
Forward error correction
generalized mutual information
Measurement
Modulation
Monte Carlo simulation
mutual information
nonlinear fiber channel
Optical fibers
Parity check codes
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Summary: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.
ISSN:0733-8724
1558-2213
DOI:10.1109/JLT.2017.2786351