Abstract: Concepts and technologies disclosed herein are directed to a notification traffic anomaly detector. The notification traffic anomaly detector can receive, from a notification system, notification traffic data associated with at least one of notification requests or notifications processed by the notification system. The notification traffic anomaly detector can determine, using at least one machine learning model, whether the notification traffic data indicates an anomaly associated with the notification requests and/or the notifications processed by the notification system. In response to determining that the notification traffic data indicates an anomaly associated with the notification requests and/or the notifications processed by the notification system, the notification traffic anomaly detector can generate an anomaly notification and provide the anomaly notification to the notification system while at least one of notification requests or the notifications is being processed by the notification system.

Abstract: The disclosed technology is directed towards detecting improbable speeds of a mobile device, which can indicate fraudulent activity with respect to the mobile device. Radio access network events and call detail records are processed to determine when a mobile device “travel jumps” between locations at improbable speeds. Events corresponding to handovers between adjacent cells are filtered out. For events corresponding to changed cell towers that are non-adjacent, further processing is performed to determine the speed of the mobile device travel between the cells. A first speed threshold is selected based on possible air travel (a cell near an airport) or a second non-air travel speed threshold is selected. If the speed of the mobile device exceeds the selected speed threshold, a travel jump is determined. Exceptions can be made for gaps in connectivity due to topography (known inconsistent reception areas) and for a mobile device shutting down and restarting.

Abstract: Aspects of the subject disclosure may include, for example, analyzing data in accordance with at least one algorithm to select one of carrier aggregation or dual connectivity for providing a communication service in respect of a communication device, resulting in a selection, and providing the communication service to the communication device in accordance with the selection. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having 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: receiving a series of values from a data stream generated by one or more equipment in a communications network; creating a first window of values received before a first point in time and a second window of values received on or after the first point in time; comparing a distribution of values in the first window and values in the second window to compute a distance at the first point in time; repeating the creating and comparing at subsequent points in time after the first point in time, thereby generating a series of distances; computing a z-score for a first distance in the series of distances; generating an alert responsive to the z-score exceeding a threshold; and storing the alert in a log of alerts. Other embodiments are disclosed.

Abstract: Distribution access channels among and across multiple communication networks can be managed. A distribution access management component (DAMC) can monitor communication conditions of communication channels across multiple communication networks employing respective communication technologies. During a data session between a data source device and communication device via a first communication channel associated with a first communication network, and in response to determining a failure of the first communication channel, DAMC can determine whether data traffic of the data session is to be re-routed from the first communication channel to a second communication channel associated with a second communication network based on a policy. If the policy indicates re-routing can be performed, DAMC can facilitate establishing the second communication channel, and data traffic of the data session can be re-routed via the second communication channel until the failure of the first communication channel is remedied.

Abstract: A processing system including at least one processor may obtain network traffic data associated with an independent gateway that is connected to a telecommunication network, apply an input data set associated with the network traffic data of the independent gateway to at least a first detection model implemented by the processing system for detecting fake network usage, and may determine the fake network usage associated with the independent gateway from the input data set associated with the network traffic data of the independent gateway via the at least the first detection model. The processing system may then generate an alert of the fake network usage associated with the independent gateway, where the alert is generated in response to the determining.

Abstract: Aspects of the subject disclosure may include, for example, coupling a virtual network function (VNF) to a cloud computing platform, resulting in an instantiation of the VNF with respect to the cloud computing platform, obtaining, based on the coupling, data to operatively interface the VNF and the cloud computing platform, and translating a communication, a message, or a combination thereof, between the VNF and the cloud computing platform using the data. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first positional information comprising a location of a non-stationary entity mobile within an environment, the first positional information obtained from a service provider monitoring a positional status of the non-stationary entity within the environment. A path of the non-stationary entity is predicted according to the first positional information. A delivery device mobile within the environment is directed according to the predicted path to deliver an item to the non-stationary entity. Second positional information is obtained, identifying a location of the delivery device within the environment. A separation distance is calculated between the location of the non-stationary entity and the location of the delivery device within the environment and a delivery opportunity is detected based upon the separation distance not exceeding a threshold distance. Other embodiments are disclosed.

Abstract: Facilitating avatar modifications for learning and other videotelephony sessions in advanced networks is provided herein. Operations of a system include evaluating a recorded interaction associated with a first entity during consumption of a first portion of a video conference determined to include the first entity. The operations also can include transforming an actual representation of the first entity in the recorded interaction to an avatar representation, resulting in an edited interaction of the first entity. Further, the operations can include outputting the edited interaction of the first entity for consumption of a second portion of the video conference by rendering the edited interaction for a second entity.

Abstract: Speed and service aware frequency band selection processes for mobility networks are described. In one embodiment, a system can comprising a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations comprise selecting a frequency band for performance of data communication between a communication device (CD) and network equipment of a communication network based on a speed of the CD, and instructing the CD to employ the frequency band for the data communication based on the selecting. In various embodiments, the selecting is responsive to the speed exceeding a threshold speed indicating the CD moving a high speed and the selected frequency band comprises a low frequency band tailored for data communication at the high speed. The frequency band selection can also account for other contextual criteria associated with the CD, including services/applications used, location, and route/trajectory of the device.

Abstract: Aspects of the subject disclosure may include, for example, registering a mobile device with a mobile communication network as a roaming network, the roaming network communicating with a home network associated with the mobile device to complete the registering, initiating access to a service on the roaming network, retrieving information about access permission status of the service for the mobile device on the roaming network; responsive to the information about access permission status of the service having a value that corresponds to denial of the service on the roaming network because the service is not approved for operation on the roaming network, providing an indication to a user of the mobile device that the service is not available, and suspending further access to the service on the roaming network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, providing a graphical user interface on a display device for interaction with operations personnel associated with a process to be performed; receiving, from the operations personnel, information defining one or more tasks to perform the process; receiving, from technical personnel associated with respective task of the one or more tasks, respective rulesets associated with the respective tasks, each respective ruleset defining procedures to complete a respective task, one or more of the respective rulesets implementing a machine learning algorithm to complete the respective task; displaying information about the one or more tasks on the graphical user interface during performance of the process; estimating, with an artificial intelligence process, a current status of the process, producing a current status estimate, wherein the estimating comprises estimating a status of the machine learning algorithm; and displaying process status information on th

Abstract: Aspects of the subject disclosure may include, for example, obtaining a dataset, the dataset including first data pertaining to geographical information associated with a plurality of entities, separating the dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, and based on the ordering, generating an estimate of a location of the hub. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to utilizing unmanned controller equipment to launch and recover unmanned imaging equipment in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include receiving an indication that unmanned aerial equipment is to be captured. The method can further include, based on the indication, capturing the unmanned aerial equipment launched over a data collection area, resulting in captured unmanned aerial equipment. Further, the method can include, interfacing with the captured unmanned aerial equipment to download information associated with the data collection area collected by the unmanned aerial equipment during airborne transit over the data collection area.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a selection of at least one network attachment model for instantiating a network service of a network, obtaining a specification of at least one parameter for the network service, generating a design based on the at least one network attachment model and the specification, and instantiating the design in conjunction with at least one resource of the network to facilitate the network service. Other embodiments are disclosed.

Abstract: Authorization for access to an application server and associated communication service can be desirably managed. When a device attempts to access an application server and service, an authorization server generates an encrypted token, comprising device identifier information, and communicates the token to the device. The device communicates the token to the application server. The application server communicates the token to the authorization server. The authorization server determines whether the device is validated to access the application server and service based on the encrypted token, private decryption key, and initialization vector, and based on subscriber-related information. The authorization server does not share the private decryption key or initialization vector with the application server. If validated, the authorization server communicates validation-related information, including a permitted portion of subscriber-related information, to the application server.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains first cellular traffic data associated with an existing cell site of a communication network, first transportation data associated with a first geographic region including the existing cell site, and first household data regarding households located in the first geographic region; the first household data comprises cellular plan data, broadband plan data, demographic data and/or economic data. The processing system constructs a predictive model for cellular traffic applicable to a candidate cell site in a second geographic region, using the cellular traffic data and the first transportation data and/or the first household data. The processing system predicts second cellular traffic at the candidate cell site, using as inputs to the model second transportation data and second household data associated with the candidate cell site. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first user-generated input, the first user-generated input indicates a request for generating an (API, identifying a first group of entities from the request, and determining whether there is a match between the first group of entities and a second group of entities stored in an API database according to API metadata. Further embodiments include identifying an API from the API database resulting in an identified API, presenting the identified API to the user, obtaining second user-generated input, and adjusting the request according to the second user-generated. Additional embodiments can include identifying a third group of entities from the adjusted request, and determining whether there is a match between the third group of entities and a fourth group of entities stored in the API database according to the API metadata. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a request for a communication service from a user equipment, based on the obtaining of the request, assigning a first identifier to the user equipment as part of the communication service, obtaining first data from the user equipment as part of the communication service, analyzing at least the first data in accordance with at least one algorithm to determine that the user equipment is likely misconfigured in an amount that is greater than a threshold, resulting in a determination, based on the determination, mapping the first identifier to a second identifier associated with the user equipment, generating a message based on the mapping, and transmitting the message. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to provisioning services from a network. For example, a method described herein can include facilitating receiving a provisioning request for a network provisioning task. Further, the method can include, based on the network provisioning task, selecting a logical provisioning template to facilitate a performance of the network provisioning task. Further, based on the logical provisioning template, the method can include identifying a programming object comprising logical commands for the performance of the network provisioning task. The method can include executing the logical commands of the programming object to control service implementation equipment to perform the network provisioning task.