Infinera Corp.

Methods and systems for determining a receive signal quality of a new subcarrier group in an optical network, including a system in which each leaf node may report a current transmission output power to a hub node when it is determined that a receive signal quality of each of a plurality of subcarrier groups is within a required signal quality margin. A new leaf node may begin transmitting a new subcarrier group at a gradually increasing transmission output power until it reaches the required receive signal quality margin. The new leaf node gradually increases the transmission output power of the new subcarrier group until the hub node determines that any of the plurality of subcarrier groups and the new subcarrier group reached a maximum transmission output power or the signal quality of one or more of the plurality of subcarrier groups and the new subcarrier group begins to degrade.

Disclosed herein are methods and systems for optimizing an optical signal in an optical network having a leaf node with a coherent optical transceiver configured to receive an optical signal continuously transmitted at a first output power from a hub node over a link. The leaf node may be provided with signal quality correction circuitry configured to determine a signal quality of the optical signal and send the signal quality to a processor of the hub node. The processor of the hub node may be configured to compare the signal quality of the optical signal to a target signal quality margin, determine that the signal quality is outside the target signal quality margin, adjust the first output power of the optical signal to a second output power different than the first output power, and continuously transmit the optical signal at the second output power.

Disclosed herein are methods and systems for optimizing signal quality in an optical network having two or more hub nodes continuously outputting optical signals to a plurality of leaf nodes. Each of the plurality of leaf nodes may receive a combined optical signal from the hub nodes and determine an optical power and a signal quality of one optical subcarrier group and send a correction signal to the hub node that sent the subcarrier group. The hub nodes may send a power optimization request comprising the optical power and signal quality of each subcarrier group to a network controller. The network controller may use the optical power and signal quality to determine a power update for an optical power of the subcarrier group(s) and send the power update to the hub node transmitting the subcarrier group. The hub node may adjust the optical power based on the power update.

Disclosed herein are optical networks and nodes, including a head-end node comprising a controller and a line module. The line module comprises a first processor and first memory storing instructions that when executed by the first processor cause the first processor to receive fault information, generate a fault packet and a fault trigger request that include a sequence number, a sequence reset time, and the fault information, and send the fault packet via a first network path and the fault trigger request via a second network path to the controller. The controller comprises a second processor, second memory storing second instructions, and packet forwarding circuitry configured to receive and automatically forward the fault packet to a tail-end optical node. The second instructions cause the second processor to receive the fault trigger request, process the fault trigger request, and send the fault trigger request to the tail end optical node.

A method is described in which a processor receives a file containing declarative parametric language. The declarative parametric language is parsed by the processor to generate a data structure. Then, within a binary executable file, at least three software components are combined based upon the data structure. The software components include a component data collector, a feature manager, and a managed object. The component data collector is software configured to collect data from at least one of a hardware component and a software component. The feature manager is software configured to selectively obtain first data from at least one component data collector and provide second data to at least one managed object. The managed object is software configured to expose the second data outside of the binary executable file.

Disclosed herein are methods and systems for optimizing an optical signal in an optical network having a hub node configured to receive an optical signal comprising a plurality of subcarrier groups each having a signal quality and a transmission output power, including a method that may comprise: determining, a first subcarrier group of the plurality of subcarrier groups with a lowest signal quality lower than a required signal quality margin; determining, a second subcarrier group of the plurality of subcarrier groups that has a highest transmission output power margin, Determining, that the transmission output power margin of the second subcarrier group is above a level needed to increase the lowest signal quality by a required signal quality increase; and sending signals to a first leaf node and a second leaf node causing the first leaf node to swap transmission positions of the first subcarrier group and the second subcarrier group.

Disclosed herein are methods and systems for automatically configuring a raman amplifier. One exemplary system may be provided with the raman amplifier, a user device, and a network administration device. A processor of the network administration device executes instructions that cause the network administration device to generate a machine learning model using machine learning techniques and deploy the machine learning model to a controller of the raman amplifier. When a desired gain profile is communicated from the user device to the controller of the raman amplifier, instructions stored in non-transitory computer readable memory cause a processor of the controller to automatically assess the desired gain profile using the machine learning model to determine raman pump configurations for each of a plurality of raman pumps of the raman amplifier and send the determined raman pump configurations to each of the plurality of raman pumps of the raman amplifier.

Disclosed herein are methods and systems for generating and/or obtaining at least one loading policy for a transmission line segment that is currently operating, the at least one loading policy comprising a combination of loading parameters for one or more types of loading management operations associated with the transmission line segment. At least one of the loading policies may be activated on a network element of the transmission line segment. Upon receiving a loading request to change a spectral loading pattern of the transmission line segment, current loading data of the transmission line segment and loading parameters from the activated loading policy may be obtained and used to generate a loading response. A signal containing the loading response may be sent to the network element, the signal configured to cause the network element to change the spectral loading pattern of the transmission line segment based on the loading response.

A node comprises an FSP, a first FRU, a second FRU, and a controller. The FSP has a first connector having first port pairs and a second connector having second port pairs, a second port pair is optically coupled to at least one first port pair. The first FRU has third port pairs and a third connector coupled to the first connector. The second FRU has fourth port pairs and a fourth connector coupled to the second connector. The controller comprises a processor and a memory storing an FSP map and instructions, including: receive a first association between a third port pair and one of the first connector and the second connector; validate the first association; generate an FRU map based on the first association and the FSP map; update a mode type for each second association; receive a service activation request; and cause an FRU to activate the service.

Disclosed herein are methods and systems for routing traffic. One exemplary system includes a muxponder module deployed in an optical network, the muxponder having an optical receiver, a first and second electrical port, a demultiplexer having a built-in digital cross-connect, and a processor accessing a first calculated carrier frequency to assign traffic streams associated with a first service identification code to a first and second host lane of the first electrical port, and a second calculated carrier frequency to assign traffic streams associated with a second service identification code to a third and fourth host lane of the second electrical port, and having logic to control the digital cross-connect to route a first and a second traffic stream to the first electrical port based on the first service identification code, and a third and a fourth traffic stream to the second electrical port based on the second service identification code.