Systems and methods of analyzing an optical transport network

US2019215073A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2019215073-A1
Application numberUS-201816039038-A
CountryUS
Kind codeA1
Filing dateJul 18, 2018
Priority dateJan 5, 2018
Publication dateJul 11, 2019
Grant date

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Abstract

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A system for analyzing an optical transport network is provided. The system can generate a linear OSNR and an output power profile for each optical link element of an optical link based on an input power profile, amplifier characteristics, transport fiber characteristics, and a set of operating parameters. The system can generate a nonlinear OSNR for each optical link element based on the input power profile and transport fiber characteristics of each optical link element. The system can determine an expected performance metric for the optical link based on the linear OSNR, the non-linear OSNR, and a transmitter output OSNR. The system can designate the optical link as valid for use in the optical transport network if the expected performance metric is greater than or equal to a performance metric threshold.

First claim

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1 . A method of analyzing an optical transport network comprising: generating a linear optical signal-to-noise ratio (OSNR) and an output power profile for each optical link element of an optical link based on an input power profile, amplifier characteristics, transport fiber characteristics, and a set of operating parameters associated with each of the optical link elements, wherein the output power profile represents the input power profile of an adjacent downstream optical link element of the optical link, and the linear OSNR is generated by: computing fiber propagation effects, and computing amplifier gain and noise figures; generating a nonlinear OSNR for each of the optical link elements based on the input power profile and transport fiber characteristics of each of the optical link elements by analyzing propagation of an optical signal through a respective optical fiber of each of the optical links using a Volterra series transform function; determining an expected performance metric for the optical link based on the linear OSNR, the non-linear OSNR, and a transmitter output OSNR; designating the optical link as valid for use in the optical transport network based on determining that the expected performance metric is greater than or equal to a performance metric threshold; and outputting the designation. 2 . The method of claim 1 , wherein analyzing the propagation of the optical signal through each of the respective optical fibers of each of the optical links includes decomposing, with the Volterra series transform function, a nonlinear Schrodinger equation describing the propagation. 3 . The method of claim 1 , wherein generating the non-linear OSNR includes computing a first Volterra series run to compute a first nonlinear power spectral density based on a flat power profile, computing a second Volterra series run to compute a second nonlinear power spectral density based on the output power profile, and computing a power spectral density output based on a quotient of the second nonlinear power spectral density and the first nonlinear power spectral density. 4 . The method of claim 1 , wherein generating the non-linear OSNR includes using a split-step Fourier propagator to perform a calibration run, and using a Volterra series propagator to compute the non-linear OSNR based on the calibration run. 5 . The method of claim 1 , wherein computing the fiber propagation effects include computing a power transfer between different frequencies of the optical signal resulting from self-Raman scattering, and computing a power loss caused by propagation through the optical fiber of each of the optical links. 6 . The method of claim 1 , wherein the set of operating parameters includes an amplifier type and a launch power value; the amplifier characteristics include a gain and a noise figure of the amplifier; and the transport fiber characteristics include attenuation as a function of frequency, Raman gain coefficient as a function of difference in frequency, chromatic dispersion, chromatic dispersion slope, and a nonlinear coefficient. 7 . The method of claim 1 , wherein the amplifier characteristic includes at least one reference Raman gain value for an input signal wavelength, wherein the reference Raman gain value is a function of fiber type, span unit loss, and pump point loss. 8 . The method of claim 1 , comprising calculating the set of operating parameters based on a span length and a unit loss of an optical link element. 9 . The method of claim 1 , comprising calculating the set of operating parameters by: computing an effective OSNR for a plurality of potential design rule sets; and selecting the potential design rule set associated with a highest effective OSNR. 10 . The method of claim 1 , wherein the expected performance metric includes an effective OSNR and the performance threshold metric includes a required OSNR. 11 . The method of claim 10 , wherein the effective OSNR includes an OSNR contributed by a transmitter, an OSNR contributed by an amplifier, an OSNR contributed by a receiver, and an OSNR contributed by a transmission impairment. 12 . The method of claim 1 , wherein the expected performance metric is a sum of inverses of the linear OSNR, the non-linear OSNR, a transmitter OSNR of a transmitter connected to the optical link, and a receiver OSNR of the receiver connected to the optical link. 13 . A system for analyzing an optical network comprising at least one processor, which is configured to: generate a linear optical signal-to-noise ratio (OSNR) and an output power profile for each optical link element of an optical link based on an input power profile, amplifier characteristics, transport fiber characteristics, and a set of operating parameters associated with each of the optical link elements, wherein the output power profile represents the input power profile of an adjacent downstream optical link element of the optical link, and the linear OSNR is generated by: computing fiber propagation effects, and computing amplifier gain and noise figures; generate a nonlinear OSNR for each of the optical link elements based on the input power profile and transport fiber characteristics of each of the optical link elements by analyzing propagation of an optical signal through a respective optical fiber of each of the optical links using a Volterra series transform function; determine an expected performance metric for the optical link based on the linear OSNR, the non-linear OSNR, and a transmitter output OSNR; designate the optical link as valid for use in the optical transport network based on determining that the expected performance metric is greater than or equal to a performance metric threshold; and output the designation. 14 . The system of claim 13 , wherein the at least one processor analyzes the propagation of the optical signal through each of the respective optical fibers of each of the optical links by decomposing, with the Volterra series transform function, a nonlinear Schrodinger equation describing the propagation. 15 . The system of claim 13 , wherein the at least one processor computes two Volterra series runs by computing a first Volterra series run to compute a first nonlinear power spectral density based on a flat power profile, computing a second Volterra series run to compute a second nonlinear power spectral density based on the output power profile, and computing a power spectral density output based on a quotient of the second nonlinear power spectral density and the first nonlinear power spectral density. 16 . The system of claim 13 , wherein the at least one processor generates the non-linear OSNR by using a split-step Fourier propagator to perform a calibration run, and using a Volterra series propagator to compute the non-linear OSNR based on the calibration run. 17 . The system of claim 13 , wherein computing the fiber propagation effects include computing a power transfer between different frequencies of an optical signal resulting from self-Raman scattering, and computing a power loss caused by propagation through a optical fiber each optical link. 18 . The system of claim 13 , wherein the operating parameters include an amplifier type and a launch power value; the amplifier characteristics include a gain and a noise figure of the amplifier; and the transport fiber characteristics include attenuation as a function of frequency, Raman gain coefficient as a function of difference in frequency, chromatic dispersion, chromatic dispersion slope, and a nonlinear coefficient.

Assignees

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Classifications

  • Monitoring or measuring power · CPC title

  • using Raman or Brillouin amplifiers · CPC title

  • due to fibre non-linearities, e.g. Kerr effect · CPC title

  • Monitoring or measuring OSNR, BER or Q · CPC title

  • Impairment aware routing · CPC title

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What does patent US2019215073A1 cover?
A system for analyzing an optical transport network is provided. The system can generate a linear OSNR and an output power profile for each optical link element of an optical link based on an input power profile, amplifier characteristics, transport fiber characteristics, and a set of operating parameters. The system can generate a nonlinear OSNR for each optical link element based on the input…
Who is the assignee on this patent?
Google Llc
What technology area does this patent fall under?
Primary CPC classification H04B10/2916. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Jul 11 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).