The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 2020

Filed:

Jun. 21, 2019
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Shaoliang Zhang, Princeton, NJ (US);

Fatih Yaman, Princeton, NJ (US);

Eduardo Rodriguez, Tokyo, JP;

Yoshihisa Inada, Tokyo, JP;

Kohei Nakamura, Tokyo, JP;

Takanori Inoue, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 10/2543 (2013.01); G06K 9/62 (2006.01); H04L 27/26 (2006.01); G06N 3/08 (2006.01); H04B 10/2531 (2013.01); H04B 10/61 (2013.01); H04L 27/20 (2006.01); H04B 10/40 (2013.01); H04B 10/50 (2013.01); H04B 10/60 (2013.01);
U.S. Cl.
CPC ...
H04B 10/6163 (2013.01); G06K 9/6265 (2013.01); G06N 3/086 (2013.01); H04B 10/2531 (2013.01); H04B 10/2543 (2013.01); H04L 27/2096 (2013.01); H04L 27/2627 (2013.01); H04B 10/40 (2013.01); H04B 10/50 (2013.01); H04B 10/60 (2013.01);
Abstract

Aspects of the present disclosure describe systems, methods and structures for optical fiber nonlinearity compensation using neural networks that advantageously employ machine learning (ML) algorithms for nonlinearity compensation (NLC) that advantageously provide a system-agnostic model independent of link parameters, and yet still achieve a similar or better performance at a lower complexity as compared with prior-art methods. Systems, methods, and structures according to aspects of the present disclosure include a data-driven model using the neural network (NN) to predict received signal nonlinearity without prior knowledge of the link parameters. Operationally, the NN is provided with intra-channel cross-phase modulation (IXPM) and intra-channel four-wave mixing (IFWM) triplets that advantageously provide a more direct pathway to underlying nonlinear interactions.


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