Ciena Corporation

Nortel Networks Corporation

David W Boertjes

Gerard Leo Swinkels

Kim Bryon Roberts

David Miedema

Yinqing Pei

Choudhury A Al Sayeed

Michel Belanger

Jean-Luc Archambault

Michael Y Frankel

David Casson Bownass

Loren Berg

Alex W MacKay

James St Harley

Andrew D Shiner

Dominic Richens

Stephen Daniel Shew

Anurag Prakash

Lyndon Y Ong

Loudon Thomas Blair

John K Oltman

Edward Chen

Christian Bourget

Trevor John Ibach

Christiane Louise Campbell

Maurice M O'Sullivan

John P Mateosky

Kevin S Meagher

Mark R Hinds

Kieran Parsons

David Côté

Simon P Parry

Michael Andrew Reimer

Paul Chedore

Emil Janulewicz

Qunbi Zhuge

Jamie Gaudette

David R Doucet

Loren S Berg

Tommaso D'Ippolito

Paul Littlewood

Fangyuan Zhang

Dave C Bownass

Priyanth Mehta

David Atkinson

Kevan Peter Jones

Michael Stanley Wilgosh

Andrew Kam

Dave Atkinson

Serge Asselin

Kevin MacNeill

Brian Choi

Marc De La Durantaye

Gary Mak

Scott Kohlert

Antoine Bois

Giuseppe Bordogna

Dane Hurley

Damian Flannery

Robert Palmer

Saeid Seydnejad

Ryan Paul Amenta

Mohammad Mehdi Mansouri Rad

Frederic Poulin

Shiyu Gao

Harald Zottman

Marc Desjardins

Michael Hiridjee

Maurice O'sullivan

Chedore Paul

Michel Belander

Paul A Littlewood

Choudhuty A Al Sayeed

A Reconfigurable Optical Add/Drop Multiplexer (ROADM) node includes a plurality of degrees; and one or more fiber/space switches, wherein each of the plurality of degrees connect to the one or more fiber/space switches, and the one or more fiber/space switches are configured to interconnect any of the plurality of degrees and optionally one or more add/drop components. The plurality of degrees are partially interconnected to one another, while supporting any-to-any interconnect based on a configuration of the one or more fiber/space switches.

ROADM architecture for wide spectrum channels

A method for per-span optical fiber nonlinearity compensation comprises determining values of fiber parameters characterizing one or more target optical fibers in one or more respective spans of a link, and applying selected weight values to one or more photonic computing chips (PCCs), each PCC integrated in a different respective span of the link, wherein selection of the weight values is based on the values of the fiber parameters and a mapping associated with each PCC. The method further comprises transmitting an optical signal through the link, wherein each integrated PCC emulates an inverse of a nonlinear transfer function of the target optical fiber in the respective span, thereby reducing nonlinearity contributed by the one or more target optical fibers to the optical signal.

Per-span optical fiber nonlinearity compensation using integrated photonic computing

Systems and methods for optical fiber characterization using a nonlinear measurement of shaped Amplified Spontaneous Emission (ASE) transmitted over the optical fiber are provided. A method includes receiving an ASE signal on an optical fiber, wherein the ASE signal is transmitted from an ASE source connected to the optical fiber and the ASE signal includes a spectral shape at an input of the optical fiber; measuring a broadened spectral shape of the received ASE signal where the broadened spectral shape is different from the spectral shape at the input and broadened due to propagation of the ASE signal over the optical fiber; and determining one or more parameters of the optical fiber based on the broadened spectral shape of the received ASE signal.

Optical fiber characterization using transmission of shaped ASE

Systems, methods, and computer-readable media are provided for logging long-term data and analyzing the long-term data with short-term data to determine the health of fiber connections in an optical network. A method, according to one implementation, includes a step of obtaining data associated with performance of fiber connections of an optical network. The fiber connections include at least an inter-node fiber connecting two adjacent network nodes and an intra-node fiber connection connecting two photonic devices within each of the two adjacent network nodes. The method further includes the step of logging the data over time as historical data and then analyzing the health of the fiber connections based on the historical data and newly-obtained data. Also, the method includes displaying a report on an interactive user interface, whereby the report is configured to show the health of the fiber connections.

Analyzing performance of fibers and fiber connections using long-term historical data

Systems and methods of optimizing launch power for each span in an optical system with a plurality of spans are provided. In an embodiment, a method includes varying power on a span under test of the plurality of spans; observing performance measurements related to of one or more channels, at corresponding optical receivers; and one of setting launch power for the span under test and repeating the varying and observing, responsive to the observed measurements.

Localized span launch power control for network level optimization

Systems and methods include receiving (S) data for a plurality of elements associated with an optical network; determining (S) an incremental noise penalty for each element of the plurality of elements based on the received data; and storing (S) the incremental noise penalty for each element of the plurality of elements. The steps can further include determining (S) Signal-to-Noise Ratio (SNR) across an optical path in the optical network by concatenating associated incremental noise penalties for each element in the optical path along with corrections. The present disclosure includes a fast, nonlinear estimation process with improved accuracy for low loss spans compared to traditional closed-form GN models, as well as a method to determine the coherent nonlinear penalty in an arbitrary concatenation of mixed heterogeneous fibers which is not considered by existing fast nonlinear interference calculation methods.

Utilizing an incremental noise metric for rapid modeling of optical networks

Systems and methods include causing perturbations across optical spectrum; probing responses across some or all of the optical spectrum after the perturbations; and determining a nonlinear transfer function based on the responses. The nonlinear transfer function can include a representation of any of end-to-end channel powers, Signal-to-Noise Ratio (SNR), Noise-to-Signal Ratio (NSR), Bit Error Rate (BER), Q, and Mean Squared Error (MSE).

Power optimization of point-to-point optical systems without visibility of intermediate system parameters

Systems and methods include providing a user interface visualizing a current state of an optical network; receiving user inputs related to capacity mining in the optical network; determining a future state with the capacity mining based on the user inputs; and providing the user interface visualizing the future state. The future state can be presented with respect to a failed link and restoration of traffic on the failed link. The future state can include a plurality of plans with a visualization showing how much of the traffic is restored based on different approaches to the capacity mining. The capacity mining can include configuring optical modems based on determined available excess capacity.

Methods and systems for managing optical network services including capacity mining and scheduling

System and methods of measuring nonlinear interference (NLI) on a per-span basis in an optical system with a plurality of spans are provided. The method includes steps of varying power based on phase sensitive detection method on a span under test of the plurality of spans; observing total noise, at an optical receiver, from all of the plurality of spans; and isolating noise for the span under test from the total noise based on the varying power. The optical system can be in-service with one or more traffic-carrying channels, and the varying power is small enough on the span under test which does not impact the one or more traffic-carrying channels.

In-service characterization of nonlinear interference on a per-span basis

Systems and methods include causing transmission of one or more shaped Amplified Spontaneous Emission (ASE) signals, from an ASE source (), on an optical fiber (); obtaining received spectrum of the one or more shaped ASE signals from an optical receiver () connected to the optical fiber (); and characterizing the optical fiber () based in part on one or more of a nonlinear skirt and a center dip depth in the received spectrum of the one or more shaped ASE signals. The one or more shaped ASE signals can be formed by the ASE source () communicatively coupled to a Wavelength Selective Switch (WSS) () that is configured to shape ASE from the ASE source to form the one or more shaped ASE signals with one or two or multiple peaks and with associated frequency.

Optical fiber characterization using a nonlinear skirt measurement

A management system for an optical line system includes one or more processors and memory storing instructions that, when executed, cause the one or more processors to receive State of Polarization (SOP) measurements from one or more optical components in the optical line system, wherein the SOP measurements are taken while traffic-bearing channels are operating, and monitor health of one or more fibers based on the SOP measurements. The health can include detection and/or localization of SOP transients.

Integrated polarimeter in an optical line system

Systems and methods of optical restoration include, with a photonic service (), in an optical network (), operating between two nodes (A, Z) via an associated optical modem () at each node, wherein each modem () is capable of supporting variable capacity, C, C, . . . , Cwhere C&#x3e;C&#x3e; . . . &#x3e;C, detecting a fault () on a home route of the photonic service () while the photonic service () operates at a home route capacity C, Cis one of C, C, . . . , C; downshifting the photonic service () to a restoration route capacity C, Cis one of C, C. . . , Cand C&#x3c;C; switching the photonic service () from the home route to a restoration route () while the photonic service () operates at a restoration route capacity C; and monitoring the photonic service () and copropagating photonic services during operation on the restoration route () at the restoration route capacity Cfor an upshift of the photonic service ().

Systems and methods for achieving best effort home route capacity on protection paths during optical restoration

Systems and methods include determining a current state of a network; determining a new state for the network having an improved cost relative to the current state; determining a defragmentation plan to move the network from the current state to the new state, the defragmentation plan including a sequence of steps; and, responsive to an event that presents an opportunity, implementing one or more steps of the sequence of steps. The implementing is conditioned on occurrence of the opportunity.

Opportunistic network defragmentation and optimization

Systems and methods include, for operation on an optical fiber in an optical network with the optical fiber having extended optical spectrum that include a plurality of bands including at least the C-band and one or more additional bands, segmenting the plurality of bands by distance based on different transmission specifications for the plurality of bands based on fiber types and amplifiers used for corresponding bands; and placing one or more channels on the optical fiber in a corresponding band of the plurality of bands based on a distance between nodes associated with each of the one or more channels. The segmenting is based on a metric that is a function of fiber type of the optical fiber and amplifier performance for amplifiers used in the plurality of bands.

Extending the optical spectrum of an optical network

Systems and methods for managing optical network services in an optical network include providing a user interface illustrating a current state of the optical network; performing analysis based on user input related to an event affecting the current state of the optical network to determine a first future state of the optical network; providing an updated user interface illustrating the first future state based on the analysis; performing an updated analysis based on updated user input received in response to the first future to determine a second future state of the optical network; and providing a further updated user interface illustrating the second future state.

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Nepean, Canada

David W Boertjes