Communication network fiber optic data service expansion

A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor deployed in a communication network, cause the processing system to perform operations, the operations comprising:

• obtaining network inventory data of the communication network, wherein the network inventory data is associated with a plurality of geographic areas;
• obtaining development infrastructure information associated with the plurality of geographic areas;
• obtaining user information associated with users in the plurality of geographic areas;
• training a prediction model to predict precedence metrics of a new fiber optic data service of the communication network in geographic areas of the plurality of geographic areas that do not include a current fiber optic data service of the communication network, wherein the prediction model comprises at least one machine learning model;
• generating at least one precedence metric of at least one of the plurality of geographic areas that does not include the current fiber optic data service, wherein the generating comprises applying to the prediction model:
• current network inventory data of the communication network associated with the plurality of geographic areas, current development infrastructure information associated with the plurality of geographic areas, and current user information associated with users in the plurality of geographic areas, wherein an output of the prediction model comprises the at least one precedence metric;
• and
• performing at least one network reconfiguration action in the communication network in response to the at least one precedence metric of the at least one of the plurality of geographic areas that does not include the current fiber optic data service.

An apparatus comprising:

• a processing system including at least one processor;
• and
• a computer-readable storage medium storing instructions which, when executed by the processing system when deployed in a communication network, cause the processing system to perform operations, the operations comprising:
• obtaining network inventory data of the communication network, wherein the network inventory data is associated with a plurality of geographic areas;
• obtaining development infrastructure information associated with the plurality of geographic areas;
• obtaining user information associated with users in the plurality of geographic areas;
• training a prediction model to predict precedence metrics of a new fiber optic data service of the communication network in geographic areas of the plurality of geographic areas that do not include a current fiber optic data service of the communication network, wherein the prediction model comprises at least one machine learning model;
• generating at least one precedence metric of at least one of the plurality of geographic areas that does not include the current fiber optic data service, wherein the generating comprises applying to the prediction model:
• current network inventory data of the communication network associated with the plurality of geographic areas, current development infrastructure information associated with the plurality of geographic areas, and current user information associated with users in the plurality of geographic areas, wherein an output of the prediction model comprises the at least one precedence metric;
• and
• performing at least one network reconfiguration action in the communication network in response to the at least one precedence metric of the at least one of the plurality of geographic areas that does not include the current fiber optic data service.