Improved lower bounds on mutual information accounting for nonlinear signal–noise interaction
Journal article, 2018

In fiber-optic communications, evaluation of mutual information (MI) is still an open issue due to the unavailability of an exact and mathematically tractable channel model. Traditionally, lower bounds on MI are computed by approximating the (original) channel with an auxiliary forward channel. In this paper, lower bounds are computed using an auxiliary backward channel, which has not been previously considered in the context of fiber-optic communications. Distributions obtained through two variations of the stochastic digital backpropagation (SDBP) algorithm are used as auxiliary backward channels and these bounds are compared with bounds obtained through the conventional digital backpropagation. Through simulations, higher information rates were achieved with the SDBP, which can be explained by the ability of SDBP to account for nonlinear signal-noise interactions.

stochastic digital backpropagation

auxiliary channel

mismatched decoding

Achievable information rate

fiber-optical communications

nonlinear compensation

Author

Naga Vishnukanth Irukulapati

Ericsson, Göteborg

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Marco Secondini

Sant'Anna School of Advanced Studies (SSSUP)

Erik Agrell

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Pontus Johannisson

RISE Acreo

Henk Wymeersch

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Journal of Lightwave Technology

0733-8724 (ISSN)

Vol. 36 22 5152-5159

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/JLT.2018.2869109

More information

Latest update

7/11/2019