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公开(公告)号:US10681435B2
公开(公告)日:2020-06-09
申请号:US16278607
申请日:2019-02-18
Applicant: ADVA Optical Networking SE
Inventor: Danish Rafique , Thomas Szyrkowiec , Joerg-Peter Elbers
Abstract: An apparatus and method for optimizing dynamically the performance of an optical network, said apparatus comprising at least one learning engine adapted to update a learning model in response to network metrics of said optical network collected during operation of said optical network, wherein the updated learning model is used to generate channel rank information for network channels; and a recommendation engine adapted to change a network channel throughput, a signal path and/or a spectral location of at least one network channel based on the channel rank information generated by the learning model of said learning engine.
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公开(公告)号:US10673740B2
公开(公告)日:2020-06-02
申请号:US16112295
申请日:2018-08-24
Applicant: ADVA Optical Networking SE
Inventor: Danish Rafique , Joerg-Peter Elbers
IPC: H04L12/721 , H04L12/24 , H04L12/26 , H04L12/729 , H04L12/703 , H04L12/803 , H04L12/801
Abstract: A system for proactive traffic restoration in a network includes at least one forecasting engine that models and forecasts traffic patterns of at least one traffic channel along a signal path of the network to provide forecast traffic quality metrics, y. The system further includes at least one time-to-failure, TTF, analyzer that calculates a time-to-failure, TTF, forecast for the traffic channel based on the forecast traffic quality metrics, y. The calculated time-to-failure, TTF, forecast is evaluated to trigger a proactive network traffic restoration.
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公开(公告)号:US20190068482A1
公开(公告)日:2019-02-28
申请号:US16112295
申请日:2018-08-24
Applicant: ADVA Optical Networking SE
Inventor: Danish Rafique , Joerg-Peter Elbers
IPC: H04L12/721 , H04L12/24 , H04L12/26 , H04L12/803 , H04L12/801 , H04L12/703 , H04L12/729
CPC classification number: H04L45/123 , H04L41/064 , H04L41/0663 , H04L41/142 , H04L41/147 , H04L41/5038 , H04L43/062 , H04L43/0817 , H04L43/0847 , H04L45/124 , H04L45/125 , H04L45/28 , H04L47/125 , H04L47/127
Abstract: A system for proactive traffic restoration in a network, said system (1) comprising: at least one forecasting engine (2) adapted to model and forecast traffic patterns of at least one traffic channel along a signal path of said network to provide forecast traffic quality metrics, y; and at least one time-to-failure, TTF, analyzer (3) adapted to calculate a time-to-failure, TTF, forecast for the traffic channel based on the forecast traffic quality metrics, y, wherein the calculated time-to-failure, TTF, forecast is evaluated to trigger a proactive network traffic restoration.
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公开(公告)号:US11199657B2
公开(公告)日:2021-12-14
申请号:US16716895
申请日:2019-12-17
Applicant: ADVA OPTICAL NETWORKING SE
Inventor: Benjamin Wohlfeil , Joerg-Peter Elbers , Rocco Matricardi , Richard Mainardi
Abstract: An electro-optical assembly comprises a substrate having a support-surface, and a photonic integrated circuit (PIC) mounted with a contact surface on the support-surface. The (PIC) comprises an integrated optical waveguide structure defining at least two waveguide end faces, at an edge surface of the PIC, perpendicular to its contact surface, and forming optical ports. An optical coupling device, mounted with a contact surface on the support-surface, optically connects at least two optical fibers to the PIC and comprises an optical waveguide structure-defining at least two front waveguide end faces provided at a front edge surface thereof, perpendicular to its contact surface. The number of front waveguide end faces corresponds to the number of the waveguide end faces. The optical coupling device is positionable during an active positioning process to align the respective waveguide end faces. A method of manufacturing such an electro-optical assembly is also provided.
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公开(公告)号:US20190261071A1
公开(公告)日:2019-08-22
申请号:US16278607
申请日:2019-02-18
Applicant: ADVA Optical Networking SE
Inventor: Danish Rafique , Thomas Szyrkowiec , Joerg-Peter Elbers
Abstract: An apparatus and method for optimizing dynamically the performance of an optical network, said apparatus comprising at least one learning engine adapted to update a learning model in response to network metrics of said optical network collected during operation of said optical network, wherein the updated learning model is used to generate channel rank information for network channels; and a recommendation engine adapted to change a network channel throughput, a signal path and/or a spectral location of at least one network channel based on the channel rank information generated by the learning model of said learning engine.
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