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: 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: 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: 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, 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 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: 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 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, 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, 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, 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: 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: 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 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: 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, 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: 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: 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: 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: 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: 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: 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: 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: Concepts and technologies disclosed herein are directed to event-based wireless emergency alerts (“WEAs”). According to one aspect disclosed herein, a WEA-capable device can receive an event-based wireless emergency alert that includes an event code and alert content. The WEA-capable device can parse the event code from the event-based WEA. The WEA-capable device can determine, via execution of an event-based WEA function, a WEA format based upon the event code. The WEA-capable device can then output the alert content in the WEA format. In some embodiments, the event code identifies a weather-related emergency event (e.g., a hurricane or tornado warning). In other embodiments, the event code identifies a non-weather-related emergency event (e.g., a child abduction alert). The WEA format can be an event-specific spoken language, an event-specific symbol, an event-specific haptic feedback, or a combination thereof.

Abstract: Aspects of the subject disclosure may include, for example, a device in a messaging core, that includes: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a short messaging system (SMS) message from an application-to-person (A2P) service to a mobile device of a subscriber; verifying an origin of the SMS message; identifying the SMS message as bearing a one-time passcode (OTP); preventing delivery of the SMS message to a messaging application on the mobile device; and delivering the SMS message to an application running on the mobile device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a first request from a first communication orchestrator of a first protected environment to provide a secure and authenticated connection between a first resource of the first protected environment and a second resource of a second protected environment, accessing first encryption information from the first communication orchestrator and second encryption information from a second communication orchestrator of the second protected environment, verifying a capability for secure quantum communications of an encryption technique of the first communication orchestrator and the second communication orchestrator according to the first encryption information and the second encryption information, and enabling the first communication orchestrator and the second communication orchestrator to initiate a secure and authenticated communication channel via quantum communications. Other embodiments are disclosed.

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: A security management service for Internet-of-things devices can obtain, from an Internet-of-things device and via a cellular network, a request by the Internet-of-things device to register with the cellular network, the Internet-of-things device including a universal integrated circuit card that stores a unique identifier for the Internet-of-things device and a cellular transceiver. The security management service can obtain behavioral data describing activity associated with the Internet-of-things device and can determine, based on the identity data and the behavioral data, if the Internet-of-things device is operating normally and as expected and if the Internet-of-things device is under the control of any unauthorized entity before allowing the Internet-of-things device to register with the cellular network.

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: receiving domain name system (DNS) record changes; identifying errors from the DNS record changes; discarding the DNS record changes responsive to the errors identified; scheduling the DNS record changes responsive to a lack of errors identified; translating the DNS record changes into protocol specific formats; and provisioning the protocol specific formats of the translated DNS record changes. Other embodiments are disclosed.

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.

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

Abstract: Aspects of the subject disclosure may include, for example, monitoring status of a network configured to provide end-to-end delivery of services to priority user equipment authorized according to a prioritized class of service and other user equipment not authorized for the prioritized class of service. The prioritized class of service extends a reserved network capacity for end-to-end delivery of a service via first domain including first network slices and a second domain including second network slices. A network interruption compromising the reserved capacity is determined based on the monitored status and integration of an alternate group of slices into one of the first network domain, the second network domain, or both to replace the compromised group of slices, is orchestrated. Integration of the alternate group of slices restores reserved network capacity according to the prioritized class of service. 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: Various embodiments disclosed herein provide for facilitating scheduling of uplink data using demodulation reference signal and scheduled resources. According to an embodiment, a system can comprise configuring a network device with a periodic rate of specified sounding reference signals with a periodicity using radio resource control signaling. The system can further facilitate estimating channel state information associated with a channel via which the network device communicates. The system can further facilitate transmitting an uplink grant with uplink transmission parameters to set up a physical uplink shared channel, wherein the uplink transmission parameters are determined based on the channel state information. The system can further facilitate estimating scheduling parameters based on a first estimation information associated with the physical uplink shared channel.

Abstract: Concepts and technologies disclosed herein are directed to image classification attack mitigation. According to one aspect of the concepts and technologies disclosed herein, a system can obtain an original image and reduce a resolution of the original image to create a reduced resolution image. The system can classify the reduced resolution image and output a first classification. The system also can classify the original image via deep learning image classification and output a second classification. The system can compare the first classification and the second classification. In response to determining that the first classification and the second classification match, the system can output the second classification of the original image. In response to determining that the first classification and the second classification do not match, the system can output the first classification of the original image.

Abstract: A UE can enable a VoWIFI service, receive hidden SSID information, and register with a core network via a RAN. The UE can monitor a first signal strength of a first signal from the RAN. The UE can scan for a second signal from a WLAN, and when found, can measure a second signal strength of the second signal. The UE can determine whether the first signal strength is at or below a first threshold. If so, and if the WLAN is untrusted, the UE can probe it with the hidden SSID information. If the untrusted WLAN responds, the UE can send an access request to an untrusted WLAN access point. The UE can receive, via the untrusted WLAN access point, an authentication challenge from an ePDG. If the UE passes the authentication challenge, the UE can register with the core network via the untrusted WLAN and the ePDG.

Abstract: An example method includes monitoring a status of a long term evolution network connection and a status of a fifth generation network connection over which a user endpoint device is simultaneously receiving data using an evolved-universal terrestrial radio access new radio dual connectivity configuration, detecting, based on the monitoring, that a performance metric of one of: the long term evolution network or the fifth generation network falls below a predefined threshold metric, and terminating, in response to the detecting, the long term evolution network connection or the fifth generation network connection to terminate the evolved-universal terrestrial radio access new radio dual connectivity configuration.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first request that includes a key, wherein the key identifies: a processing system that is a targeted recipient of an advertisement, a stream in which a primary content item is being provisioned to the processing system, and a service provider, based at least in part on the transmitting of the first request, obtaining information pertaining to an advertisement from a device of the service provider, and inserting the information within a portion of the stream corresponding to a break in the primary content item. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining that a network load would consume a first amount of power if supported by a first frequency band of a network, resulting in a first determination, determining that the network load would consume a second amount of power if supported by a second frequency band of the network that is different from the first frequency band, resulting in a second determination, the second amount of power being less than the first amount of power, and based at least on the first determination and the second determination, allocating the network load to the second frequency band. Other embodiments are disclosed.

Abstract: Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Abstract: Aspects of the subject disclosure may include, for example, selecting a latency comparison, a throughput comparison, a security comparison, a reliability comparison, movement information or a combination thereof for an end user device executing a communication service according to a service type resulting in a selection criteria, wherein the comparisons are evaluations of each of different available connections; and generating a switching decision by selecting one of the connections. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, over a communication network, a first message utilizing a first messaging application from a first communication device associated with a first user and identifying a recipient of the first message as a second user associated with a second communication device. Further embodiments can include determining that the second user utilizes a second message application to exchange a first group of messages via the second communication device resulting in a first determination, and transmitting, over the communication network, the first message to the second communication device utilizing the second messaging application based on the first determination. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining that one or more tests are to be executed for a core network of a telecommunications system, based on the determining, transmitting one or more test initiation commands to a set of user equipment (UEs) of a plurality of UEs communicatively coupled to the core network, wherein the one or more test initiation commands cause the set of UEs to execute the one or more tests, obtaining, from the set of UEs, results associated with the one or more tests, analyzing the results based on one or more machine learning (ML) models to identify a network issue, and responsive to the analyzing, performing one or more actions to address the network issue. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining, by a processing system including a processor, that a first resource of a first radio access network is accommodating load in an amount less than a first threshold, resulting in a first determination, determining, by the processing system, that a signal strength of a signal emitted by the first resource is greater than a second threshold, resulting in a second determination, and based on the first determination and the second determination, causing, by the processing system, a voice call initiated by a first user equipment to be supported by the first resource, wherein prior to the causing the first user equipment obtained communication services via a second resource of a second radio access network. Other embodiments are disclosed.

Abstract: Providing and using a user login protection service can include detecting, during a login creation process, input that indicates that a computing device has opted-in for protection for a login being created. During the login creation process, the login can be stored at a first data storage location, the login including an address that identifies a location of a distributed ledger and a password, and a reset password at a second data storage location comprising a secure data storage device. In response to detecting an attempt to log in to the third party device to access the resource, a value associated with the distributed ledger can be obtained, the value indicating a status of a trigger condition associated with the login. If the value is zero, the attempt to log in can be allowed to proceed. If the value is one, the attempt to log in can be blocked.