Achievable Information Rates for Fiber Optics: Applications and Computations
July 26, 2017 Β· Declared Dead Β· π Journal of Lightwave Technology
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Authors
Alex Alvarado, Tobias Fehenberger, Bin Chen, Frans M. J. Willems
arXiv ID
1709.10393
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
175
Venue
Journal of Lightwave Technology
Last Checked
4 months ago
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 (LDPC) 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.
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