Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 30,
  • Issue 24,
  • pp. 3857-3879
  • (2012)

The GN Model of Non-Linear Propagation in Uncompensated Coherent Optical Systems

Not Accessible

Your library or personal account may give you access

Abstract

This paper is devoted to an in-depth discussion of the Gaussian Noise (GN) model which describes non-linear propagation in uncompensated coherent transmission systems. Similar models and validation efforts are reviewed. Then, the main equations of the GN model are introduced. An intuitive physical interpretation of the equations and their features is proposed. The main characteristics of the non-linear interference (NLI) noise spectra that the GN model produces are discussed. To ease model exploitation, a new formulation in hyperbolic coordinates is proposed, which makes numerical integration faster. New approximate closed-form solutions are also provided. An extension of the GN model to distributed-amplification scenarios is introduced. NLI noise accumulation versus distance and bandwidth are studied in depth. Finally, the GN model implications as to system and networks design and optimization are discussed.

© 2012 IEEE

PDF Article
More Like This
EGN model of non-linear fiber propagation

Andrea Carena, Gabriella Bosco, Vittorio Curri, Yanchao Jiang, Pierluigi Poggiolini, and Fabrizio Forghieri
Opt. Express 22(13) 16335-16362 (2014)

Extension and validation of the GN model for non-linear interference to uncompensated links using Raman amplification

Vittorio Curri, Andrea Carena, Pierluigi Poggiolini, Gabriella Bosco, and Fabrizio Forghieri
Opt. Express 21(3) 3308-3317 (2013)

Single- and cross-channel nonlinear interference in the Gaussian Noise model with rectangular spectra

Alberto Bononi, Ottmar Beucher, and Paolo Serena
Opt. Express 21(26) 32254-32268 (2013)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.