Abstract: Aspects of the subject disclosure may include, for example, authenticating a credential of a first user of a first device, based on the authenticating, providing the first user with an option to select a badge from a plurality of badges via the first device, based on the providing of the option, obtaining a selection of a first badge included in the plurality of badges from the first device, resulting in a selected badge, and based on the obtaining of the selection, transferring an identification of the selected badge to the first device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining network-related information for a terrestrial cell and for an aerial cell that has been deployed to offload traffic from the terrestrial cell, determining whether traffic has been offloaded from the terrestrial cell to the aerial cell based on the network-related information obtained over time, responsive to a determination that traffic has been offloaded, determining whether a current load on the terrestrial cell satisfies a threshold, responsive to a determination that the current load satisfies the threshold, instructing the aerial cell to enable boosting of synchronization signal power, obtaining additional network-related information for the terrestrial cell and the aerial cell, identifying whether additional traffic has been offloaded from the terrestrial cell to the aerial cell based on the additional network-related information, and performing action(s) to increase or decrease the synchronization signal power based on the identifyin

Abstract: Aspects of the subject disclosure may include, for example, categorizing users of a cellular network according to a plurality of user categories, identifying, by a machine learning model, a service degradation in the cellular network, identifying at least one affected user, the at least one affected user being affected by the service degradation, identifying one or more affected user categories including the at least one affected user, identifying potentially affected users, the potentially affected users being categorized according to the one or more affected user categories, and taking action to isolate the potentially affected users from the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, by a processing system including a processor, an indication of an assertion involving a first avatar of a first user, assessing, by the processing system and based on the obtaining, a validity of the assertion relative to a threshold, and authorizing, by the processing system and based on the assessing, a first action to be taken by the first avatar, a second action to be taken by a second avatar of a second user, or a combination thereof. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a need to offload traffic for an access network based on communications from an access mobility function (AMF), identifying a colony of drones to address the need to offload traffic for the access network, deploying the colony of drones to a coverage area corresponding to the access network, and providing end-to-end (E2E) orchestration across a core network and the colony of drones. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, deploying UAVs to a geographic area based on a need to offload traffic from a terrestrial base station, instructing the base station to enforce a UE served by the base station to determine a DoA of a received pilot signal emitted from each neighboring cell and to provide determined DoAs in a measurement report to the base station, obtaining the report from the base station, wherein the report includes DoA information for a plurality of neighboring cells, analyzing the DoA information to determine, for each neighboring cell of the plurality of neighboring cells, a probability of that neighboring cell being an aerial cell, resulting in determined probabilities, and controlling an ability of the base station to perform a handover of the UE to one or more of the plurality of neighboring cells based on the probabilities. Other embodiments are disclosed.

Abstract: Automated software code validation and deployment can include obtaining software code. The software code can be created via interactions with a computing device. In response to obtaining the software code and prior to receiving a request to deploy the software code, a security scan can be performed on the software code. After performing the security scan on the software code, a request to deploy the software code can be detected and in response to detecting the request, it can be determined if the software code includes a vulnerability that was detected during the security scan. If a determination is made that the software code does not include the vulnerability, the software code can be deployed. If a determination is made that the software code includes the vulnerability, deployment of the software code can be terminated, a security scan report can be generated, and the security scan report can be output.

Abstract: Artificial biometric traits self-nullify due to natural physiological processes. Biometric enrollment and authentication may then be based on a life associated with the self-nullifying biometric trait. Once the life is expected to have expired, no further authentication may be performed until a new artificial biometric is applied.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information identifying each version of a policy rule base to which a control plane architecture of a wireless network has access; obtaining second information identifying each version of a policy rule base to which a user plane architecture of the wireless network has access; selecting as a selected version a common version of a policy rule base to which each of the control plane architecture and the user plane architecture has access; and communicating an identification of the selected version to each of the control plane architecture and the user plane architecture. 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: creating a quantum digital twinning model for a public safety event; generating a map view of an area of the public safety event, wherein the map view shows images determined by the quantum digital twinning model; providing recommendations for actions to mitigate the public safety event, wherein the recommendations are determined from the quantum digital twinning model; and providing explainability of the recommendations determined. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.

Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, which is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

Abstract: A system enables a home operator to establish an automated monitoring process which identifies outage events on competitor wireless networks (e.g., peer operators) operating in the same geographies as home operator. The home operator then is able to selectively offer, in near real-time, to open roaming to the peer operator, or implement roaming automatically based on predefined and mutually agreed upon rule sets. The monitoring process may observe non-customer attach request volumes in order to identify outage events on competitor wireless networks.

Abstract: A method for selecting spectator viewpoints in volumetric video presentations of live events includes receiving a plurality of video streams depicting an event occurring in a venue, wherein the plurality of video streams are provided to a processor by a plurality of cameras which are geographically distributed within the venue, identifying an initial position of a target that is present in the venue, based on an analysis of the plurality of video streams, compositing the plurality of video streams to produce a first volumetric video traversal of the live event that follows the target through the venue, predicting a future position of the target in the venue at a future point in time, based in part on a current position of the target, and sending an alert to a display device that is streaming a volumetric video presentation of the event, wherein the alert indicates the future position of the target.

Abstract: Concepts and technologies disclosed herein are directed to optimizing and reducing redundant dispatch tickets via a network knowledge graph. According to one aspect disclosed herein, a network knowledge graph generation system (“NKGGS”) can construct a machine learning model to determine a probability of an installation job needing a helper job to fulfill a service order. The NKGGS can execute the machine learning model to determine the probability. The machine learning model can determine the probability of the installation job needing the helper job to fulfill the service order based upon a network knowledge graph and a dependency score. The NKGGS can cluster the installation job with a plurality of installation jobs.

Abstract: The present disclosure describes a device, computer-readable medium, and method for an IPv4-to-IPv6 redirect to enable use of application function-specific user endpoint identifiers (AF-specific UEIds).

Abstract: Facilitating improved performance in advanced networks (e.g., 4G, 5G, and beyond) with multiple transmission points is provided herein. Operations of a system can comprise determining respective port numbers for respective ranks of a first transmission to a user equipment device. The operations also can comprise receiving an indication, from a second network device, of a first demodulation reference signal associated with a port number for a rank of a second transmission to the user equipment device from the second network device. Further, the operations can comprise facilitating a conveyance of the first transmission to the user equipment device. The first transmission can comprise a second demodulation reference signal on a different port number than the port number associated with the second transmission.

Abstract: Aspects of the subject disclosure may include, for example, a system comprising a distributed unit (DU) configured to generate sounding reference signal (SRS)-based beams, and a remote unit (RU) communicatively coupled with the DU over a fronthaul, wherein the RU is configured to generate demodulation reference signal (DMRS)-based beams and perform digital beamforming for an uplink using the DMRS-based beams in combination with the SRS-based beams. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining that a first communication session involving a client device and utilizing a first Wireless Fidelity (Wi-Fi) frequency band has concluded, and based on the determining, causing a second communication session involving the client device to utilize a second Wi-Fi frequency band that is different from the first Wi-Fi frequency band. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: receiving by a selected one of a plurality of containers incoming traffic from a legacy application, the legacy application having been associated with a migrated application prior to the migrated application having been installed on a Software as a Service (SaaS) cloud infrastructure, the incoming traffic comprising a first instruction to perform a first legacy operation; mapping the first legacy operation of the legacy application to a replacement instruction for the migrated application by receiving data from the selected container and assigning the replacement instruction to replace the first instruction; and communicating with the migrated application on the SaaS cloud infrastructure, the communicating comprising sending to the migrated appli