Abstract: Aspects of the subject disclosure may include, for example, receiving, from a computing device, a validation request for validating an individual associated with a mobile device equipped with an authentication app communicatively coupled with an authentication system, obtaining request data from a user validation system, enabling, using the request data, the computing device to communicate with the user validation system to facilitate the validation, wherein the validation involves the user validation system triggering the authentication system to provide access information to the computing device, the authentication system authenticating the individual/mobile device, the authentication system providing, to the user validation system, identification information of the individual based on the authenticating, and the user validation system determining a validation result based on data relating to the identification information.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data, identifying one or more parameters impacting signaling between the device and network infrastructure, analyzing, based on the identifying, the one or more parameters to determine that multiple-input single-output (MISO) or multiple-input multiple-output (MIMO) is to be used in a conveyance of the data from the device to the network infrastructure, resulting in a determination, and utilizing, in accordance with the determination, MISO or MIMO to convey the data from the device to the network infrastructure, the utilizing incorporating cyclic delay diversity (CDD). 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 selecting an international mobile subscriber identifier (IMSI) from a pool of IMSIs; generating authentication credentials for the IMSI selected; updating an electronic subscriber identity module (eSIM) with a bootstrap profile comprising the IMSI selected and the authentication credentials; and detecting whether a collision of the IMSI occurred when the device registers with a communication network using the bootstrap profile. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: building a computer-usable model; performing automated testing on the computer-usable model to determine whether the computer-usable model successfully handles a plurality of test scenarios; performing fault injection by injecting a plurality of faults into the computer-usable model to determine whether the computer-usable model successfully handles the plurality of faults, and facilitating deployment of the computer-usable model. Other aspects of the subject disclosure may include, for example: the deployed computer-usable model detecting and/or experiencing deviations, inconsistencies and/or anomalies; and activating one or more backup methods in response to the deployed computer-usable model detecting and/or experiencing deviations, inconsistencies and/or anomalies. The one or more backup methods can be implemented in a preferred order (e.g., depending upon the type of the deviations, inconsistencies and/or anomalies).

Abstract: Excessive signaling by devices against a radio access network (RAN) can be detected and mitigated. A security management component (SMC) can determine whether a total number of control signals received by a base station from devices satisfies a threshold total number of control signals indicative of excessive signaling. If so, SMC can identify a device associated with the base station based on analyzing communication conditions associated with the device. SMC can determine whether to classify the device as an excessive signaling device based on whether the number of control signals received from the device by the base station satisfies a threshold number of control signals indicative of excessive signaling. If so, SMC can determine the device is an excessive signaling device. In response, SMC can perform or facilitate performing a mitigation action to mitigate excessive signaling or can generate statistics relating to the excessive signaling.

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 including: receiving a path of a threat vehicle; calculating a closest approach distance based on a current position of a drone and the path of the threat vehicle; determining that the closest approach distance is within a threshold; and sending a command to the drone to descend to a safe altitude. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example: receiving, from a first mobile communication device of a first user, first information associated with a computer-readable indicia that has been scanned by the first mobile communication device, wherein the computer-readable indicia had been displayed by a second mobile communication device of a second user at a time of being scanned by the first mobile communication device; responsive to receiving of the first information, obtaining from one or more first databases first characterizing data that is descriptive of one or more characteristics of the second user; and sending to the first mobile communication device the first characterizing data, wherein the sending facilitates a presentation by the first mobile communication device of the one or more characteristics of the second user. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium with executable instructions that facilitate performance of operations by a processor including receiving a registration for a trajectory of a satellite; estimating a zone of occupancy at a future time for the satellite; determining an interference of the satellite from the zone of occupancy at the future time; determining a deconfliction for minimizing or eliminating the interference; and sending the deconfliction to a controller of the satellite. Other embodiments are disclosed.

Abstract: In one example, a processor may receive a first request to process a first task, the first request including a first estimated central processing unit utilization for the first task and a first estimated memory utilization for the first task and receive central processing unit capacities and memory capacities of a plurality of sub-data routers including at least a first sub-data router. The processor may further determine that the first sub-data router has a lowest central processing unit capacity from among the plurality of sub-data routers that is sufficient to accommodate the first estimated central processing unit utilization for the first task and determine that the first sub-data router has a memory capacity that is sufficient to accommodate the first estimated memory utilization for the first task. The processor may then assign the first task to the first sub-data router.

Abstract: Improving configuration of routing areas within an area of interest can include obtaining input data including a list of common language location identifiers within a defined area of interest and identification of a number of routing areas to be created within the area of interest; creating a bounding rectangle around the area of interest represented by the list of common language location identifiers; generating, within the bounding rectangle, a uniformly distributed sequence point; determining, from within the list of common language location identifiers, if the uniformly distributed sequence point is located in a particular common language location identifier of the list of common language location identifiers; if so, adding, to a list of kernel common language location identifiers the uniformly distributed sequence point; and if not, discarding the uniformly distributed sequence point.

Abstract: Adaptable resiliency for a virtualized radio access network (vRAN) framework is disclosed. A resiliency management component can determine vRAN topological adaptations that can reflect resiliency requirements of service instance(s). Accordingly, sufficient redundant vRAN components to satisfy the resiliency requirements can be deployed. However, unlike conventional redundancy techniques that can determine a highest level of redundancy and then apply that relative to all supported services, the disclosed subject matter can avoid over-deploying redundant vRAN components, e.g., redundant components exceeding the resiliency requirement of a service instance, resulting in lowered monetary and non-monetary costs to maintain a vRAN. Moreover, as the services change, the topology of the vRAN can be automatically adapted to purge excessive redundancies, add newly required redundancies, etc., which can facilitate propagating an adequate but lean vRAN topology that is sufficiently resilient.

Abstract: Aspects of the subject disclosure may include determining a local classifier device classification associated with a first device via a local machine learning (ML) device classifier according to basic information data associated with the first device, storing the local classifier device classification at a local device classification database, and storing the local classifier device classification at a device classification for ML training database, receiving a ML model update from a trainer for ML device classifier, the ML model update is generated by the trainer for ML device classifier according to the device classification for ML training database and a remote classifier device classification, and the remote classifier device classification is determined via a remote ML device classifier according to historical network information associated with the first device, and updating the local ML device classifier according to the ML model update. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying an entity of a natural language question, locating a node of a knowledge graph corresponding to the entity, and generating a candidate answer set including a group of other entities located a predetermined proximity to the node. Contextual information for the group of other entities is determined from the knowledge graph, and the natural language question and contextual information are separately encoded to obtain separate encoded vectorial representations of the natural language question and members of the candidate answer set. The encoding uses pre-trained language model embeddings obtained via a bidirectional encoder representations from transformer encoding process. The encoded vectorial representations of the question under an influence of aspects of the contextual information are scored and a member of the candidate answer set selected according to the score to obtain an answer to the original question.

Abstract: Systems and methods may use a math programming model for designing an edge cloud network. The edge cloud network design may depend on various factors, including the number of edge cloud nodes, edge cloud node location, or traffic coverage, among other things.

Abstract: The described technology is generally directed towards a transport protocol for latency sensitive applications. The disclosed transport protocol is “semi-reliable” in that it allows for specification of an importance of data being transmitted, thereby allowing important data to be sent reliably, while other data can be dropped if necessary, e.g., under bad network conditions. A deadline can be specified for such other data, and if the other data cannot be sent prior to the deadline, it can be dropped. Furthermore, the disclosed transport protocol can allow for early discovery of network jitter. A client device can send regular acknowledgments which identify most recently received data packets as well as a number of “heartbeat transmissions” received at the client device. A server device can use the acknowledgments to discover and respond to jitter.

Abstract: A mobile edge computing (MEC) service area can utilize packet header source and/or destination internet protocol data and session initiation protocol source and/or destination internet protocol data to map internet protocol addresses associated with mobile devices. The MEC can comprise a translation component that translates service provider internet protocol addresses such that they are perceived as enterprise premises internet protocol addresses. Conversely, the translation component can translate enterprise premises internet protocol addresses such that they are perceived as service provider internet protocol addresses.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first value for a first parameter to a first user equipment, wherein the first parameter pertains to a first number of scans to be performed by the first user equipment to detect a first signal having a first frequency within a first frequency band as part of a first scanning procedure, and transmitting a second value for a second parameter to the first user equipment, wherein the second parameter pertains to a first amount of time that the first user equipment is to wait between the first scanning procedure and a second scanning procedure, the second scanning procedure pertaining to detection of the first signal having the first frequency within the first frequency band. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards network slice pre-configuration for cellular communication systems, including 5G and subsequent generation cellular communication systems. Network equipment can be preconfigured to identify whether a network slice identifier included in a network communication belongs to a group of network slice identifiers. If so, the network equipment can process the network communication either according to a network slice rule that corresponds specifically to the network slice identifier, or according to a default group network slice rule for the group to which the network slice identifier belongs. Different groups of network slice identifiers can be associated with different sets of group network slice rules which can be arranged to reduce the work of setting up network slice identifiers in various network slicing scenarios.

Abstract: Processing data resulting from an execution of a plurality of different applications to identify at least one notification that is to be provided to a user of a client device, identifying criteria associated with the user, the criteria including a role of the user within an organization and a preference of the user, determining a characteristic associated with the at least one notification based on the identifying of the criteria, and providing the at least one notification having the characteristic to the client device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, configuring, coordinating, and operating frequency division multiplexing on one or more access and backhaul links. The subject disclosure further describes how an IAB node and a serving parent node can coordinate resource block (RB) usage and RB set usage using over-the-air signaling. Other embodiments are described in the subject disclosure.