Subcom, LLC

Yunlu Xu

Richard Kram

Jonathan Liss

Lara Denise Garrett

Eric Bodner

Wilko Eschebach

Georg Heinrich Mohs

Yuriy Tsaltskan

Shreya Gautam

Lee Richardson

Stacy Test

Dmitriy Kovsh

Dmitry Kovsh

Jonathan M Liss

Provided are techniques, devices and systems that enable updating of a reportable parameter table database when a reconfigured optical communication path is formed by switching performed by a branching unit in an undersea optical communication transmission system. A processor may obtain system attributes of each respective segment of a number of segments of the reconfigured optical communication path from a first end point to a second endpoint. The system attributes of each respective segment of the number of segments may be evaluated from the first end point to the second endpoint of the reconfigured optical communication path. A reportable parameter table may be generated based on the evaluated system attributes that includes a listing of operational and structural parameters of system from the first endpoint to the second endpoint of the reconfigured optical communication path.

Enhanced line monitoring and parameter reporting for high fiber count undersea fiber optic transmission systems with multiple switchable branches

Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

Techniques to generate network simulation scenarios

An embodiment of the present disclosure includes an RPC architecture that includes a central manager gateway with a client-facing side that allows for client access via web services protocols such as SOAP and REST. The central manager gateway further includes a server-facing side that can communicate with a plurality of network elements, with each network element implementing a common IDL architecture and RPC manager instance. Each of the network elements, and in particular their RPC manager instance, may communicate with other RPC manager instances to 'learn' the network topology for the system and maintain a topology database for purposes of exposing a naming service, e.g., a CORBA naming service. The network elements may elect one master element while the others remain as slaves. The central manager gateway may automatically locate the master network element and forward client requests to the same for servicing.

Techniques for interfacing between web services and interface description language (IDL)-based remote procedure call (RPC) services and an optical communication system implementing same

A system and method consistent with the present disclosure provides for automated line monitoring system (LMS) baselining that enables capturing and updating of operational parameters specific to each repeater and associated undersea elements based on high loss loopback (HLLB) data. The captured operational parameters may then be utilized to satisfy queries targeting specific undersea elements in a Command-Response (CR) fashion. Therefore, command-response functionality may be achieved without the added cost, complexity and lifespan issues related to deploying undersea elements with on-board CR circuitry. As generally referred to herein, operational parameters include any parameter that may be derived directly or indirectly from HLLB data. Some example non-limiting examples of operational parameters include span gain loss, input power, output power, gain, and gain tilt.

Techniques for parameter reporting of elements in an optical transmission system using high loss loopback (HLLB) data and a line monitoring system implementing the same

A system and method for automatically calibrating loopback data in a line monitoring system of an optical communication system. Extra peaks in loopback data are calibrated out of the loopback data used by the system by identifying pairs of peaks in the loopback data associated with test signal transmissions through the same high loss loopback path from opposite ends of the optical transmission path.

Automatic calibration of loopback data in line monitoring systems

In general, a system and method consistent with the present disclosure provides automated line monitoring using a machine learning fault classifier for determining whether a signature associated with the high loss loopback (HLLB) data matches a predetermined fault signature. The fault classifier may be applied to signatures generated in response to line monitoring signals of two different wavelengths. A fault may be reported only if the fault classifier indicates a fault in response to the signature for both wavelengths. A second fault classifier may also be used and a fault may be reported only if both the first and second fault classifiers indicate a fault in response to the signature for both wavelengths. A system consistent with the present disclosure may also, or alternatively, be configured to report the value of a pump degradation, span loss, or repeater failure fault, and may also, or alternatively, report the directionality of a span loss fault or the location of a fiber break fault.

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Howell, NJ, United States of America

Yunlu Xu