Abstract: Aspects of the subject disclosure may include, for example, a device comprising: a processing system; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: receiving first user input indicative of a first set of data that will be requested from a first network function; receiving second user input indicative of a second set of data that will be requested from a second network function; responsive to the receiving of the first user input, sending a first request message via a standardized protocol to the first network function; responsive to the receiving of the second user input, sending a second request message via the standardized protocol to the second network function; receiving from the first network function the first set of data; and receiving from the second network function the second set of data. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing data associated with a plurality of network domains, identifying, based on the analyzing of the data, a first action to be taken in a first network domain of the plurality of network domains, identifying, based on the analyzing of the data, a second action to be taken in a second network domain of the plurality of network domains, issuing a first directive to the first network domain to cause a first communication device in the first network domain to take the first action, and issuing a second directive to the second network domain to cause a second communication device in the second network domain to take the second action. Other embodiments are disclosed.

Abstract: Initiation of a network slice event is disclosed. The network slice event can be initiated in response to, and according to a determined a network slice event instruction. The network slice event can result in modification of network slices of a network. The modification of the network slices can correspond to a change in the performance of the network. The modification of the network slices can comprise adding a new slice, removing an existing slice, adapting an existing slice, etc. Artificial intelligence, machine learning, etc., can be employed to provide an inference related to determining the network slice event instruction. The slice event can be implemented via a network controller, for example an ONAP component, based on the network slice event instruction.

Abstract: The described technology is generally directed towards automated acceptance testing of network functions so that only certified network functions are deployed in a wireless network. When a network function attempts to register in a network, e.g., with a network function repository, the registration attempt triggers a workflow that obtains a result of automated testing of the network function. The automated testing operation can be based on a test suite selected according to the network function type and the network slice in which the network function is to be deployed. Only upon determining that the network function passed the automated testing operation is the network function registered (by the network function repository) for operation in the wireless network.

Abstract: Initiation of a network slice event is disclosed. The network slice event can be initiated in response to, and according to a determined a network slice event instruction. The network slice event can result in modification of network slices of a network. The modification of the network slices can correspond to a change in the performance of the network. The modification of the network slices can comprise adding a new slice, removing an existing slice, adapting an existing slice, etc. Artificial intelligence, machine learning, etc., can be employed to provide an inference related to determining the network slice event instruction. The slice event can be implemented via a network controller, for example an ONAP component, based on the network slice event instruction.

Abstract: Initiation of a network slice event is disclosed. The network slice event can be initiated in response to, and according to a determined a network slice event instruction. The network slice event can result in modification of network slices of a network. The modification of the network slices can correspond to a change in the performance of the network. The modification of the network slices can comprise adding a new slice, removing an existing slice, adapting an existing slice, etc. Artificial intelligence, machine learning, etc., can be employed to provide an inference related to determining the network slice event instruction. The slice event can be implemented via a network controller, for example an ONAP component, based on the network slice event instruction.

Abstract: The described technology is generally directed towards automated acceptance testing of network functions so that only certified network functions are deployed in a wireless network. When a network function attempts to register in a network, e.g., with a network function repository, the registration attempt triggers a workflow that obtains a result of automated testing of the network function. The automated testing operation can be based on a test suite selected according to the network function type and the network slice in which the network function is to be deployed. Only upon determining that the network function passed the automated testing operation is the network function registered (by the network function repository) for operation in the wireless network.

Abstract: Initiation of a network slice event is disclosed. The network slice event can be initiated in response to, and according to a determined a network slice event instruction. The network slice event can result in modification of network slices of a network. The modification of the network slices can correspond to a change in the performance of the network. The modification of the network slices can comprise adding a new slice, removing an existing slice, adapting an existing slice, etc. Artificial intelligence, machine learning, etc., can be employed to provide an inference related to determining the network slice event instruction. The slice event can be implemented via a network controller, for example an ONAP component, based on the network slice event instruction.

Abstract: A system and method for transferring e911 calls between a 3GPP network and a non-3GPP network. The method includes connecting an emergency communication between a mobile device and an emergency service, receiving, from the mobile device, an indication to handoff the communication from a first network to a second network; and transferring the communication from the first network to the second network while maintaining continuity of the communication.

Abstract: A system and method for transferring e911 calls between a 3GPP network and a non-3GPP network. The method includes connecting an emergency communication between a mobile device and an emergency service, receiving, from the mobile device, an indication to handoff the communication from a first network to a second network; and transferring the communication from the first network to the second network while maintaining continuity of the communication.