Abstract: Aspects of the subject disclosure may include, for example, monitoring internet traffic, identifying a portion of the internet traffic associated with a plurality of gaming activities, and prioritizing at least a segment of the portion of internet traffic to reduce latency in processing at least a portion of the plurality of gaming activities. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a plurality of accounting nodes, each accounting node being associated with a service node of a communication network, each accounting node being configured to collect data usage information for a network segment of the communication network including an associated service node, and an accounting server in data communication with accounting nodes of the plurality of accounting nodes, the accounting server configured to receive from the accounting nodes the data usage information for each service node and determine billing for data usage of each network segment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system configures one or more robots to perform tasks in an establishment, and assigns to the robots privileges and/or priorities in accordance with a policy. The method also includes detecting a situation in the establishment requiring performance of a task; facilitating the performance of the task by at least one of the robots; and dynamically reprogramming at least one of the robots in response to the situation to perform a specialized task to address the situation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting a need to verify an identity of a particular user in the metaverse, obtaining a particular hash/encoding associated with the particular user, wherein the particular hash/encoding is generated based on processing of a video, image, voice recording, or biometric information associated with the particular user, retrieving a second hash/encoding from a user profile of a first user, wherein the second hash/encoding corresponds to a second user and is generated based on processing of a video, image, voice recording, or biometric information associated with the second user, performing a comparison of the second hash/encoding and the particular hash/encoding, and based on a determination that there is a match, identifying that the particular user corresponds to the second user, resulting in a verification of the identity of the particular user. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may detect a first location and a first orientation of an augmented reality endpoint device of a user at a venue, identify an entryway of a first enclosed space of the venue that is within a first field-of-view of the augmented reality endpoint device in accordance with the first location and the first orientation of the augmented reality endpoint device, and present, via the augmented reality endpoint device, first visual information of the first enclosed space. The first visual information may include first imagery of the first enclosed space and may be presented within the first field-of-view.

Abstract: Automatic neighbor relationships (ANR) can be implemented within a radio access network intelligent controller (RIC), which receives load information from network nodes and user equipment measurements from user equipment. The RIC can create and maintain real-time load information and leverage slicing knowledge of neighbor cells during mobility to direct the user equipment to various network slices. Thus, an enhanced radio access network (RAN) neighbor relationship that utilizes slicing information can provide slice level RAN neighbor visibility on top of physical ANR relationships to enable enhancements for mobility management optimization.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining an image of a location that includes a wireless access point; analyzing the image to determine a potential signal interference from an object that has moved into a position with respect to the wireless access point; and generating routing instructions for wireless communications according to the potential signal interference. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a user end device comprises an unmanned aerial vehicle (UAV) based on user end device information, determining the UAV supports carrier aggregation, and obtaining a list of the group of neighboring base stations from the UAV. Additional embodiments can include, based on the list, identifying a primary frequency channel of a primary base station and identifying a group of secondary frequency channels associated with a secondary base station, and providing first instructions to the UAV, via the first base station, to split transmission of data associated with the UAV among the primary frequency channel and the group of secondary frequency channels, wherein the UAV transmits a first portion of the data over the primary frequency channel and transmits a portion of the data over an associated secondary frequency channel. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, constructing a vehicle record for a driverless vehicle that indicates capabilities of the vehicle for responding in an emergency; receiving an alert regarding an incident; analyzing a database to identify available vehicles for responding to the incident; selecting a vehicle from the available vehicles in accordance with selection criteria including a current vehicle location and capabilities of the vehicle; directing the selected vehicle to the incident location; directing the selected vehicle to perform one or more actions to respond to the incident; receiving data from the selected vehicle regarding performance of the actions; analyzing the data to evaluate the performance; and generating a report of the incident including an indication of the performance. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a 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: detecting that a 911 call had been made on a carrier network by the device, the device having associated therewith a telephone number; responsive to the detecting that the 911 call had been made, sending a token to the carrier network, the token causing the carrier network to disable call blocking to the telephone number. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory, machine-readable medium, including executable instructions that, when executed by a processing system including a processor, facilitate performance of operations of: receiving signals from a brain-computer interface to authenticate a user of the brain-computer interface through a user interface; responsive to successful authenticating the user, permitting the user to operate a target computer system by the brain-computer interface; and monitoring the user to ensure an integrity of the user. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to guidance rule-based compliance management. According to one aspect disclosed herein, an integrated technology catalog system (“system”) can provide an interface through which a technology catalog can be accessed to view a technology product and evaluate the technology product in a given context. The system can receive, via the interface, a request to evaluate the technology product in the given context. In response to the request, the system can identify whether at least one guidance rule is applicable to the technology product in the given context. In response to identifying that the at least one guidance rule is applicable to the technology product in the given context, the system can generate a report for the technology product. The report can include all applicable guidance rules for the technology product. The system can output the report.

Abstract: Aspects of the subject disclosure may include, for example, receiving, by a processing system including a processor via a satellite, an emergency communication that was transmitted from an end user device to the satellite; and determining, by the processing system, a legitimacy of the emergency communication according to an analysis based on various information such as a diligence query or challenge sent to the end user device by the satellite, a history of emergency communications associated with the end user device, a location of the end user device, a location of an emergency event associated with the emergency communication, a number of other emergency communications from other end user devices that are associated with the emergency event, a time period of the other emergency communications, locations of the other end user devices, or a combination thereof. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example analyzing emergency communications that were transmitted from end user devices; determining that a group of the emergency communications that corresponds to a group of the end user devices is associated with an emergency event; extracting descriptions of the emergency event from the group of the emergency communications; retrieving mapping data of a location associated with the emergency event; and generating a graphical representation of the emergency event based on a machine learning model being applied to the mapping data and the descriptions, where the machine learning model is trained on historical emergency events. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a 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: directing a ping message via a private core network to a public safety answering point (PSAP); determining whether a ping response is received from the PSAP, resulting in a determination; and responsive to the determination being that a ping response is not received from the PSAP, determining an alternate communication path via which an emergency communication can be transmitted to the PSAP. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: obtaining first network performance data characterizing a first wireless network that uses one technology, wherein the first wireless network provides one or more users of a plurality of users access to a collection of servers that enable services; obtaining first service performance data characterizing a first service of the services that are enabled by the collection of servers; obtaining first service requirements of the first service; obtaining second service performance data characterizing a second service of the services that are enabled by the collection of servers, wherein the second service is a different service than the first service; obtaining second service requirements of the second service; and responsive to a first user of the plurality of users indicating a preference to utilize the first wireless network, selecting one of the first service or the second service as a selected service for the first user, wherein the selecting of the s

Abstract: Aspects of the subject disclosure may include, for example, receiving data associated with network equipment operating in a communication system, determining from the data inferential parameters that describe operations of the network equipment; and determining, from the inferential parameters, one or more behavioral profiles of one or more network elements of the network equipment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving first user-generated input, over a communication network, from a communication device that indicates a request to provision a ghost software application on the communication device, and provisioning, over the communication network, an anchor software application on a subscriber identity module (SIM) associated with the ghost software application. Further embodiments can include receiving second user-generated input, over the communication network, from the communication device that indicates request to utilize the ghost software application, and identifying the anchor software application provisioned on the SIM of the communication device resulting in an identification.

Abstract: Synchronized satellite communications can include receiving, at a computer having a processor, a data request that identifies a requesting device, data to be received by the requesting device, and a time at which the data is to be received by the requesting device. The processor can determine a geographic location of the requesting device and locations of a plurality of satellites; identify, based on the geographic location of the requesting device and the locations of the plurality of satellites, satellites that are to provide the data to the requesting device; generate instructions for loading network requirements to the satellites; and provide, to at least one of the satellites, the instructions. Additionally, embodiments of the concepts and technologies disclosed herein can be used to provide the same data and/or different data to multiple devices at the same time.

Abstract: The disclosed technology is directed towards locating and counting unused nodes, such as free Internet Protocol version 4 (IPv4) address blocks. A hierarchical structure of nodes is created from an origin block to a specified lower level, and the hierarchical structure is processed using mapping and eliminating to locate free nodes. A first node group comprises node(s) in use, a second node group identifies intermediate subnets between the first node of the first node group and the specified origin block, and a third node group identifies any subnets hierarchically below node(s) in use. Unused (free) node count information is obtained based on nodes below the origin block that are not in the first node group, the second node group, or the third node group.

Abstract: A method includes defining a first specification for a first network slice, determining a first equilibrium value for a first time period for the first network slice offering, receiving a first bid price for the first network slice for the first time period from a first customer, comparing the first equilibrium value to the first bid price; and providing services using the network slice to the customer during the time period in accordance with the first specification and the bid price if the bid price meets or exceeds the equilibrium value.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Systems and methods for managing network traffic receives, at a grade of service device, network traffic information for a plurality of network traffic channels from a network device separate from the grade of service device. The network traffic information is compared to a threshold to determine a behavior value for each network traffic channel. Each network traffic channel is mapped to a grade of service according to the behavior value.

Abstract: Methods, systems, and products monitor a person's regimen for medicinal and dietary restrictions. When the person's regimen requires a liquid medication or supplement, an oral instrument is commanded to dispense a dosage of fluid. The oral instrument stores a reservoir of the fluid. If the oral instrument is a spoon, for example, the spoon may automatically dispense cough syrup or other medicine. A toothbrush, likewise, may automatically dispense mouthwash. A sensor may confirm presence of the oral instrument in the person's mouth, thus ensuring the dosage of fluid is ingested.

Abstract: Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, an aerial base station determining operating frequencies of terrestrial base stations, and taking one or more actions to reduce the potential for interference between the aerial base station and the terrestrial base stations. Actions taken by the aerial base station may include changing frequency, changing altitude, changing location, and changing transmit power. Other embodiments are disclosed.

Abstract: A content selection server including a processor configured to receive personal preference information from a plurality of personal media devices, select content based on the personal preference information, and provide playback of the content.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining, by a processing system, real-time information regarding a state of a communication network and capabilities of the communication network; selecting a routing for delivering a message to user equipment (UE) coupled to the network, in accordance with the real-time information; and configuring a messaging path according to the routing. The method further includes detecting whether the UE is in a non-active state and if so, providing a notification on a user plane data path of the communication network; the UE on returning to an active state thus is notified that the message is available via the user plane data path. If the UE on returning to the active state is unable to receive the message via the user plane data path, the message is then provided on a control plane signaling path. 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: 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, 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, 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: 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, 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 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 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: 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: 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: 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: 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: 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: 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: 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: 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, receiving, from a machine learning model, information about an event causing a service degradation in a cellular network, wherein the event is external to the cellular network, determining one or more event categories associated with the event causing the service degradation, determining, based on the one or more event categories, likely affected customers, the likely affected customers being likely to experience the service degradation, determining, by the machine learning model, proper resources for resolution of the service degradation, wherein the determining proper resources is based on the one or more event categories, and dispatching the proper resources for resolution of the service degradation. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: obtaining first information identifying a first path between a source node located in a network and a destination node located in the network, wherein the first path comprises a first plurality of nodes including at least one first intermediate node between the source node and the destination node, and wherein the first information comprises first latency information that identifies a first travel latency that exists on the first path between the source node and the destination node; obtaining second information identifying a second path between the source node and the destination node, wherein the second path comprises a second plurality of nodes including at least the source node and the destination node, and wherein the second information comprises second latency information that identifies a second travel latency that exists on the second path between the source node and the destination node; and selecting as a selected path either the first path

Abstract: Aspects of the subject disclosure may include, for example, a system including a cross-segment slice controller (CSSC) configured to interface with a software-defined network (SDN) controller and a software-defined radio (SDR) controller. The SDN controller may be associated with a core network and the SDR controller may be associated with a radio access network (RAN). The system further includes a machine learning (ML) component configured to obtain and analyze data regarding the core network and the RAN, and an intelligent end-to-end (E2E) orchestration platform (IEOP) configured to coordinate with the SDN controller and the SDR controller via the CSSC based on outputs of the ML component to provide dynamic cross-segment network slice management. Other embodiments are disclosed.