Abstract: Aspects of the subject disclosure may include, for example, identifying network elements of a wavelength division multiplexing (WDM) domain of an optical waveguide communication system that includes a group of optical-add-drop multiplexor (OADM) devices. Operations are observed for the WDM domain configured to deliver communication services configured for simultaneously transporting independent signals across a network of single optical waveguides. A demand for optical waveguide communication services is determined and the WDM network is configured according to the optical fiber communication link requirement and according to the observations. The configured WDM network includes at least one OADM device of the group of OADM devices configured to provide a WDM cross-frequency network path of the configured WDM network. Other embodiments are disclosed.

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 of: determining a network topology in a fiber optic network, wherein the network topology comprises a plurality of network elements joined by fiber optic links; selecting parameter values of a set of parameters for a channel between a first network element and a second network element in the plurality of network elements; applying the parameter values to create parameterized dense wavelength division multiplexing (DWDM) signals between the first network element and the second network element; responsive to the applying the parameter values, determining characteristics of the channel in the fiber optic network; repeating the selecting and applying of the parameter values to determine the characteristics of the channel using different selected parameter values

Abstract: Aspects of the subject disclosure may include, for example, identifying network elements of a wavelength division multiplexing (WDM) domain of an optical waveguide communication system that includes a group of optical-add-drop multiplexor (OADM) devices. Operations are observed for the WDM domain configured to deliver communication services configured for simultaneously transporting independent signals across a network of single optical waveguides. A demand for optical waveguide communication services is determined and the WDM network is configured according to the optical fiber communication link requirement and according to the observations. The configured WDM network includes at least one OADM device of the group of OADM devices configured to provide a WDM cross-frequency network path of the configured WDM network. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for automatically configuring network elements in multi-vendor and multi-domain topologies. In one example, a method includes determining a need of a communications network, where a topology of the communications network includes a plurality of network functions from at least two different vendors, predicting a subset of the plurality of network functions and respective configuration parameter values for network functions in the subset, that are expected to support the need of the communications network, and modifying the configurations of the network functions in the subset to reflect the respective configuration parameter values.

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 of: determining a network topology in a fiber optic network, wherein the network topology comprises a plurality of network elements joined by fiber optic links; selecting parameter values of a set of parameters for a channel between a first network element and a second network element in the plurality of network elements; applying the parameter values to create parameterized dense wavelength division multiplexing (DWDM) signals between the first network element and the second network element; responsive to the applying the parameter values, determining characteristics of the channel in the fiber optic network; repeating the selecting and applying of the parameter values to determine the characteristics of the channel using different selected parameter values

Abstract: Aspects of the subject disclosure may include, for example, identifying network elements of a wavelength division multiplexing (WDM) domain of an optical waveguide communication system that includes a group of optical-add-drop multiplexor (OADM) devices. Operations are observed for the WDM domain configured to deliver communication services configured for simultaneously transporting independent signals across a network of single optical waveguides. A demand for optical waveguide communication services is determined and the WDM network is configured according to the optical fiber communication link requirement and according to the observations. The configured WDM network includes at least one OADM device of the group of OADM devices configured to provide a WDM cross-frequency network path of the configured WDM network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, predicting dense wavelength division multiplexing (DWDM) path outage prediction and recommendation of alternate communication paths. Parameterized DWDM signals are launched, and resulting network characteristics are determined. The parameters and characteristics are used to train one or more machine learning models subsequently used to predict outages and recommend alternate paths. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, collecting network information for a mobility network, including processing the network information at a central controller serving the mobility network, building, in the central controller, a machine learning model including building the machine learning model using the network information, and allocating, by the central controller, radio channels of the mobility network based on a recommendation of the machine learning model. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing, by a processing system, a customer message to determine a customer care issue and a customer sentiment, and generating a response to engage with the customer based on the customer sentiment; the response includes the information to address the customer care issue. The system also delivers the response to the equipment of the customer; monitors for a customer reaction to the delivered response to determine a change in the customer sentiment; and generates an additional response to further engage with the customer based on the change in the customer sentiment. Other embodiments are disclosed.