Abstract: Server selection for improving latency with an instance of a service is disclosed. Generally, lower core latency is preferable. Core latencies can be related to a physical distance between endpoints connected via a communication pathway, such as a first server and second server connected via network equipment. A geographic distance between endpoints can be different from a topological distance of a communication pathway between endpoints. Endpoints, e.g., servers, can be ranked based on topological distance. The ranking can be communicated to service provider equipment to enable selection of a server based on a corresponding ranking of the server. Selection of an endpoint based on topological distance can enable improved latency in comparison to selecting an endpoint based on geographical distance. Improved latency can result in an improved quality of experience for a user of a service supported by an endpoint selected based on topological distance.

Abstract: A managed Wi-Fi service network device can receive, from a cellular network device, an allowable throughput rate at which a user equipment is authorized to communicate via a managed Wi-Fi service network. Based on the allowable throughput rate, the managed Wi-Fi service network device can monitor a communication rate of the user equipment via the managed Wi-Fi service network. In response to the user equipment communicating via the managed Wi-Fi service network at a rate that exceeds the allowable throughput rate, the managed Wi-Fi service network device can facilitate reducing the communication rate of the user equipment. Also, a user equipment can receive from a cellular network device an allowable throughput rate at which the user equipment is authorized to communicate via the managed Wi-Fi service network. The UE can communicate via the managed Wi-Fi service network at a communication rate that does not exceed the allowable throughput rate.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system creates a network element by consolidating a control plane including a combination of a plurality of 5G control plane functions and a plurality of IMS control plane functions with an associated user plane including a combination of a 5G user plane function (UPF) and one or more IMS user plane functions. The method also includes deploying the network element at a network edge of the service provider network, receiving a request from a user endpoint (UE) device for a network service, and attaching the UE to the network element. The network element is configured to facilitate providing the requested network service. Other embodiments are disclosed.

Abstract: In one example, a method includes creating a user group in an extended reality application, creating a language library for the user group, where the language library includes a plurality of gestures and a plurality of corresponding meanings, launching a session of the extended reality application for the user group, presenting the language library in the session of the extended reality application, monitoring communications among the user group during the session of the extended reality application, presenting, when an error is detected during the monitoring, a correction to a member of the user group who made the error, where the correction shows the member how to correct the error in a manner that is consistent with the language library, and adding, when a new gesture is detected during the monitoring, the new gesture and a corresponding meaning for the new gesture to the language library.

Abstract: Aspects of the subject disclosure may include, for example, receiving first defining information for a first metaverse, receiving second defining information for a second metaverse, automatically identifying conflicts between the first defining information and the second defining information, automatically negotiating resolution of the conflicts between the first defining information and the second defining information to define rules for a merged metaverse, merging the first metaverse and the second metaverse according to the rules for the merged metaverse to define a destination metaverse, and interacting with a plurality of users to create for the plurality of users an immersive experience in the destination metaverse. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining information regarding a metaverse object and data regarding network resources, deriving a mapping between the metaverse object and one or more of the network resources based on the information and the data, and providing a hybrid service design and orchestration (H-SDO) system with access to the mapping to facilitate selection of particular network resources for supporting one or more metaverse service requests relating to the metaverse object. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards presenting promotional content via an avatar representing a first, promoter user to a second, target user experiencing a virtual or other environment. The promotional content may be presented via an alteration of the avatar, audio output and/or an object virtually associated with the avatar. The promotional content may be selected based on matching target user data describing a target user experiencing a virtual reality environment. Different users viewing the same avatar at the same time can be presented with different promotional content. Information may be output to attract a target user to perceive the promotional content. The promoter user can interact to obtain a current promotion status notification, as well as to select from available promotional content offerings to promote.

Abstract: Aspects of the subject disclosure may include, for example: obtaining first data that is associated with a first user and that is indicative of personality trait(s) of the first user; obtaining second data that is associated with a second user and that is indicative of personality trait(s) of the second user; receiving first usage data that is indicative of viewing by the first user of media content; receiving second usage data that is indicative of viewing by the second user of the media content; determining change(s) to be made to the media content, wherein the change(s) are in accordance with the first and second personality traits, and wherein the change(s) are designed to minimize a stress level of the first user and/or the second user; editing the media content to reflect the change(s); and providing edited media content to the first and second users. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, enterprise application shield systems and methods for performing a sequence of security checks as to an incoming HTTP request and forwarding the HTTP request to a target system upon detection of an absence of a triggering event and an absence of sensitive personal information. Otherwise, the HTTP request is dropped and no response will be provided to a sender of the HTTP request. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a plurality of alarms associated with a network, correlating the plurality of alarms to data that identifies a topology of the network to obtain a plurality of correlated events, applying a model that is based on machine learning to the plurality of correlated events to generate an extended correlated event, identifying a solution to the extended correlated event, and implementing the solution as part of the network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, from a user equipment (UE) device, a scheduling request for a configured grant operation during performance of an ultra-reliable low latency communications (URLLC) service at the UE device, determining radio channel characteristics of a radio channel of the UE device, and determining an appropriate modulation and coding scheme for a dynamic configured grant for the UE device, wherein the appropriate modulation and coding scheme is selected based on the radio channel characteristics. Aspects of the disclosure further include communicating information about the dynamic configured grant to the UE device, including communicating an assigned modulation and coding scheme to the UE device for use during performance of the URLLC service at the device, and suspending further scheduling requests for additional dynamic configured grants during completion of the URLLC service at the device. Other embodiments are disclosed.

Abstract: A method for detecting anomalous streaming network traffic data in real time includes: creating an anomaly detection model including a singular value matrix and a data pattern matrix from a matrix of historical network traffic data; storing the singular value matrix and the data pattern matrix of the anomaly detection model; receiving streaming network traffic data; performing a log transform on the streaming network traffic data; applying the anomaly detection model to a matrix of the streaming network traffic data in real time as the streaming network traffic data is received; detecting anomalous patterns in the streaming network traffic data based on patterns identified by the anomaly detection model; and associating the anomalous patterns in the streaming network traffic data with IP addresses.

Abstract: Techniques are described that facilitate dynamically predicting and minimizing risks associated with performance of physical tasks. In one example embodiment, method comprises obtaining, by a system comprising a processor, current health status information regarding a current health status of an entity and task information regarding a task to be performed by the entity. The method further comprises determining, by the system, a personalized assessment of an ability of the entity to perform the task relative to an environment in which the task is to be performed based on the current health status information and the task information, and determining, by the system, risk information regarding a risk associated with performance of the task by the entity within the environment as a function of the personalized assessment.

Abstract: Intelligent hologram communication continuity (e.g., using a computerized tool) is enabled. A method can comprise: determining, by a device comprising a processor, a context associated with a live interaction, wherein the live interaction is associated with a user profile and transmitted via a network; determining, by the device, hardware data representative of hardware associated with transmission of the live interaction via the network; in response to a hardware criterion being determined to be threshold satisfied by the hardware data, generating, by the device, using a hologram generation model and based on the context, a synthetic hologram associated with the live interaction, wherein the hologram generation model has been generated based on machine learning applied to past context data representative of past contexts of past live interactions associated with the user profile, from prior to the live interaction; and transmitting, by the device, the synthetic hologram instead of the live interaction.

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 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: Various embodiments disclosed that describe systems to facilitate paging an idle subscriber identity module using a connected subscriber identity module operating in a single radio configuration. According to some embodiments, a system can comprise receiving a paging request that is designated for a first device of a communication device, wherein the communication device comprises the first device and a second device; determining whether the second device is in an active state; and in response to the determining that the second device is in the active state, transmitting a message to second device indicating that the paging message was received for the first device.

Abstract: Adaptive grouping of an access point (AP) slice with other computing resource slices is disclosed. Grouping of an AP slice can comprise grouping to a radio access network (RAN) slice, to a backhaul network (BH) slice, to a network core component (core) slice, or combinations thereof. The grouping can be based on end point device information, AP environment information, and/or user preference information. Coordinating or synchronization of AP, RAN, BH, core slices, or combinations thereof, can enable streamlining of migration of a device between an AP component to a RAN component. Moreover, slice coordination can enable efficient use of communication path resources tailored to needs of devices connecting to an AP device. A determined grouping can be modified before provisioning, or after provisioning, in response to changes in device demands, AP state, etc.

Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.

Abstract: Enabling machine-to-machine communication for digital assistants can include initiating a call with a called device, generating audio stream data having a first instance of audio and a first spoken command, which can be provided to the called device. A second instance of audio stream data can be received from the called device, can include a second spoken command, and can be analyzed to determine if it includes assistant signature data. If the second instance of audio stream data includes the assistant signature data, the devices can switch to machine-to-machine communications.