Abstract: Aspects of the subject disclosure may include, for example, obtaining, over a communication network, flow records from each of a group of smart residential gateways (SRGs) resulting in a group of flow records. Each of the group of SRGs is associated with one or more communication devices resulting in a group of communication devices. Further embodiments include determining a first Quality of Experience (QoE) metric for a first portion of the group of communication devices based on the group of flow records, and determining that the first QoE metric is below a first QoE metric threshold. Additional embodiments include identifying a first portion of the group of SRGs associated with the portion of the group of communication devices, and allocating a first group of network resources to a first portion of the communication network associated with the first portion of the group of SRGs. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting a loss of at least a part of a packet conveyed via a wireless link coupling a processing system and a user equipment, based on the detecting, identifying a cause of the loss as being due to one of a signal strength of a signal being less than a first threshold or an amount of data in a buffer exceeding a second threshold, resulting in an identification, and based on the identification, invoking an action. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data pertaining to a communication service facilitated at least in part by a first gateway located in a building, the communication service involving at least a first user equipment, analyzing the data to determine that a processing load supported by the first gateway exceeds a first threshold, wherein the first threshold is expressed as a function of a capacity of the first gateway, resulting in a determination, and based on the determination, performing an action that causes the processing load supported by the first gateway to be reduced to a level that is less than the first threshold. Other embodiments are disclosed.

Abstract: A computer-implemented method includes receiving information associated with a plurality of user equipment, wherein the information comprises location information for each of the plurality of user equipment and receiving information associated with a plurality of base stations. The computer-implemented method further includes analyzing the information associated with the plurality of user equipment or the information associated with the plurality of base stations. The computer-implemented method further includes in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds. The computer-implemented method further includes based on the trigger, sending an alert to one or more of the plurality of user equipment or orchestrating movement of a component of each of the plurality of base stations.

Abstract: A network-connected electronic device may obtain, at a location, a notification that a network-connected sensor device at the location is activated in response to a triggering of a critical rule of the network-connected sensor device, determine whether the triggering of the critical rule of the network-connected sensor device will activate a function of the network-connected electronic device, activate the function of the network-connected electronic device in response to the determining that the triggering of the critical rule of the network-connected sensor device will activate the function of the network-connected electronic device.

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: detecting a target behavior of a person and a first location of the person using a computer vision system in a monitored location; confirming the first location detected by the computer vision system matches a mobile location of a mobile device possessed by the person, wherein the mobile device is connected to a network providing communication services at the monitored location, and wherein the mobile location is determined by the network; and providing a reward to the mobile device responsive to the target behavior detected and the first location matching the mobile location. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system analyzes data including a user profile and historical data relating to previous interactions between an automated agent and equipment of the user. The method also includes determining a desirable outcome of an interaction between the automated agent and the user equipment; constructing a model for generating an expected outcome of a step of the interaction; using the model to perform a simulation of a next step of the interaction by generating an expected outcome for each of a plurality of possible actions, resulting in a plurality of expected outcomes; and selecting a next action for the next step of the interaction. If the desirable outcome is not obtained, the system can refine the plurality of possible actions to perform a simulation of a subsequent step of the interaction. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, via an interactive user interface, user selections of a dataset and a first dimension of a plurality of dimensions in a hierarchical structure, wherein the dataset corresponds to a specific domain and comprises anomalies or alerts that are aggregated in certain dimensions, and wherein a lattice of aggregations of the anomalies or alerts is defined for the specific domain, causing the interactive user interface to present a time series chart and a heatmap, wherein the time series chart portrays alert density across dimensions below the first dimension, wherein the heatmap displays, according to a visual scheme, concentrations of the anomalies or alerts across at least a portion of the dimensions below the first dimension, and wherein user interaction with the time series chart and/or the heatmap facilitates navigation of subspaces of the lattice and exploration of the concentrations of the anomalies or alerts.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes downloading, to each of a plurality of vehicles each including a sensor, a sharing microservice (SM) to collect sensor data comprising information regarding operation of the vehicle and an environment of the vehicle; receiving from each SM a sensor data feed comprising the collected sensor data, where each of the data feeds is accessible to each of the plurality of vehicles; generating for each of the plurality of vehicles an image of a local environment of that vehicle based on the sensor data feed; and communicating with a target vehicle to recommend a sensor data feed from another vehicle. Other embodiments are disclosed.

Abstract: Restoring network configurations using network topology snapshots can include obtaining a first network topology snapshot that describes a first configuration of a network environment at a first point in time, obtaining a second network topology snapshot that describes a second configuration of the network environment at a second point in time, calculating a difference between the first network topology snapshot and the second network topology snapshot, presenting the difference for display, in response to determining that a request to restore a previous configuration has been received, identifying a configuration change that is to be reverted and a restore point associated with the configuration change to be reverted, and outputting a command that, when executed by an orchestration service, causes the orchestration service to revert the configuration change.

Abstract: Aspects of the subject disclosure may include, for example, detecting data streams by a processing system including a processor, wherein the processing system is associated with an anomaly detection and alerting system in which stream processing and model maintenance is decoupled from one another, and wherein one or more dedicated virtual machines (VMs) store and maintain anomaly detection and alerting models, based on the detecting, causing, by the processing system, a plurality of stream-processing VMs to be instantiated for processing the data streams, and managing, by the processing system, data stream assignments for the plurality of stream-processing VMs based on monitoring of one or more conditions, wherein the plurality of stream-processing VMs process assigned data streams by executing instances of the anomaly detection and alerting models, and provide model outputs to the one or more dedicated VMs for updating of the anomaly detection and alerting models. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards an automation agent for network equipment configuration. The automation agent can be incorporated into a network automation platform. The network automation platform can include, inter alia, a communication channel, such as a data movement as a platform (DMaaP) communication channel, which is used by various components of the network automation platform. The disclosed automation agent can monitor the communication channel for network equipment configuration communications generated by other components of the network automation platform. In response to a network equipment configuration communication, the automation agent can create an interface update file comprising the updated interface configuration data, and send the interface update file to a network equipment configuration update service for deployment to the network equipment.

Abstract: An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.

Abstract: Methods are disclosed for optimizing execution of tasks for users. A processing system including a processor detects a triggering condition for a transport task for transporting a subject from a first location to a second location via usage of an autonomous vehicle, establishes a negotiated task coordination plan between a user and a third party provider for performing the transport task, and executes the negotiated task coordination plan, wherein the executing causes the autonomous vehicle to travel between the first location and the second location for transporting the subject.

Abstract: Aspects of the subject disclosure may include, for example, receiving a request for a configuration audit of a network device, identifying a class of the network device, retrieving a configuration template for the network device, wherein the retrieving is based on the class of the network device, wherein the configuration template is represented as a hierarchical tree structure, retrieving a current configuration of the network device, translating the current configuration of the network device to a tree data structure, comparing the tree data structure with the configuration template represented as a hierarchical tree structure, identifying discrepancies between the tree data structure and the configuration template represented as a hierarchical tree structure, reporting the discrepancies, receiving instructions to resolve the discrepancies, and modifying one of the current configuration for the network device and the configuration template for the network device, wherein the modifying is responsive to the i

Abstract: An architecture to dynamically create technology based geofences around defined or definable areas for UE, in particular aerial UE, while ensuring the safe operation of UE. A method can comprise identifying aerial user equipment entering a defined geographic area that is controlled by network equipment, monitoring the aerial user equipment and tracking a trajectory associated with the aerial user equipment in relation to a restricted area included in the defined geographic area, determining that the aerial user equipment is proximate to the restricted area, transmitting to the aerial user equipment, a first customized system information block message comprising data representing a warning message, determining that the aerial user equipment, based on the warning message, has not adapted the trajectory to avoid the restricted area, and transmitting to the aerial user equipment a second customized system information block message comprising data representative of a cell individual offset value.

Abstract: Aspects of the subject disclosure may include, for example, a method including generating a plurality of discrete polygons from a digital image of a location, modifying a boundary of a first discrete polygon of the plurality of discrete polygons based on a user input at a venue map graphical user interface, assigning, at the venue map graphical user interface, a first zone of a plurality of zones associated with a first venue of a plurality of venues to a second discrete polygon of the plurality of discrete polygons, and presenting a performance map graphical user interface for the first venue of the plurality of venues including the second discrete polygon of the plurality of discrete polygons overlaid onto the digital image of the location. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a Reference Signal Received Power (RSRP) and a Signal to Noise Ratio (SNR) for a plurality of carriers at a user equipment (UE) device, the plurality of carriers transmitted by a source group of cells including a source primary cell (PCell) and one or more source secondary cells (SCells) associated with the source PCell, and initiating a handover of communication with the UE device from the source group of cells to a target group of cells, wherein the target group of cells includes a target PCell and one or more target SCells, wherein the initiating the handover is responsive to the RSRP exceeding a predetermined RSRP threshold and the SNR exceeding a predetermined SNR threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, an end-user 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: storing for each other end-user device of a plurality of other end-user devices a respective identification, the end-user device and the plurality of other end-user devices forming a group; receiving a first indication of a first subset of the group with which to carry out first communications, the first subset comprising one or more first target end-user devices selected from the group; responsive to receipt of the first indication, sending to each of the one or more first target end-user devices a first instruction to communicate with the end-user device via a first dynamically determined channel; and engaging in the first communications with each of the one or more first target end-user devices after each of the one o

Abstract: A method, where the method includes discovering an event where at least one device is offline and instantiating an emergency mode causing the at least one device to permit data or message aggregation. The method further includes defining a community of devices including an identity of the at least one device and establishing communication between the at least one device and a mobile aggregation device. The method further includes when the mobile aggregation device is in communication with the at least one device, aggregating a payload of a message or data from the at least one device and the community having an artificial intelligence instantiated as a virtual network function or network device, the community communicating with the mobile aggregation device to receive data from the at least one device, and the artificial intelligence being configured to assess the event based on the data obtained by the mobile aggregation device.