System and method for saving energy in a passive optical network
AssigneeAT&T Communiations Services India Private Limited
InventorMritunjay Pandey
Life of this patent
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Abstract
Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations including: discovering devices in a passive optical network (PON); generating a topology for the devices discovered in the PON; training an artificial intelligence (AI)/machine learning (ML) model based on the devices discovered and the topology generated to create a trained AI/ML model; and using the trained AI/ML model to determine parameters that optimize a launch energy of each optical channel in the PON. Other embodiments are disclosed.
Claims20
A device, comprising:
- a processing system including a processor;
- and
- a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
- discovering devices in a passive optical network (PON);
- generating a topology for the devices discovered in the PON;
- training an artificial intelligence (AI)/machine learning (ML) model based on the devices discovered and the topology generated to create a trained AI/ML model;
- and
- using the trained AI/ML model to determine parameters that optimize a launch energy of each optical channel in the PON.
A non-transitory, machine-readable medium, having recorded thereon executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
- identifying devices in a passive optical network (PON);
- creating a topology for the devices discovered in the PON;
- training an artificial intelligence (AI)/machine learning (ML) model based on the devices discovered and the topology generated to create a trained AI/ML model;
- and
- using the trained AI/ML model to determine parameters that optimize a launch energy of each optical channel in the PON.
A method, comprising:
- discovering, by a processing system including a processor, devices in a passive optical network (PON);
- creating, by the processing system, a topology for the devices discovered in the PON;
- training, by the processing system, an artificial intelligence (AI)/machine learning (ML) model based on the devices discovered and the topology generated to create a trained AI/ML model;
- testing, by the processing system, the trained AI/ML model;
- and
- determining, by the processing system, determine parameters that optimize a launch energy of each optical channel in the PON by using the trained AI/ML model.
Dependencies are inferred from the claim text.