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: 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: 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: 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.

Abstract: Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes acquiring a plurality of video volumes of an environment from a plurality of cameras, wherein at least two individual video volumes of the plurality of video volumes depict the environment from different viewpoints, generating a panoptic video feed of the environment from the plurality of video volumes, detecting an event of interest occurring in the panoptic video feed, and isolating a video volume of the event of interest to produce a video excerpt.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes receiving, by a processing system in communication with a client device, a signal from the client device according to a session description protocol (SDP); the signal comprises a capability parameter regarding streaming of video frames to the client device, a first focus area parameter and a second focus area parameter indicating respectively a first resolution for a high focus area and a second resolution for a low focus area of the video frame, a bandwidth parameter indicating a bandwidth availability for a streaming video session, and a streaming method parameter regarding the streaming of the video frames. The system calculates the high focus area and the low focus area of the video frame, and delivers, subsequent to receiving the signal, a plurality of video frames to the client device. Other embodiments are disclosed.

Abstract: A method includes acquiring a playlist identifying a plurality of video files to be played back during a video streaming session on an endpoint device, obtaining, from an operator of a communications network over which the video files are to be downloaded, a maximum throughput for the video streaming session, selecting a subsequent video file that is scheduled in the playlist for playback after a playback of a currently playing video file, wherein the subsequent video file includes a plurality of chunks, selecting, based on the maximum throughput and for each of the chunks, a variant, such that a plurality of variants is selected in which each variant corresponds to one chunk of the plurality of chunks, wherein the variants are selected to maximize a utility function that is constrained by the maximum throughput, and downloading the plurality of variants to a local buffer of the endpoint device.

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, for example, obtaining a request pertaining to an onboarding of an application supporting a communication network or system, based on the obtaining of the request, establishing a profile for the application, selecting first resources of a first cloud computing network to support the application, based on the selecting of the first resources, configuring at least one resource of the first resources based on the profile, and deploying a first instance of the application to utilize the first resources. 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: Aspects of the subject disclosure may include systems and methods, for example, including receiving a user input in natural language, retrieving a first answer including a list of a first number of documents relevant to the user input by searching indexed documents in a knowledge base, applying the first answer to a large language model reader, resulting in a second answer, re-ranking the first answer by using the second answer, resulting in a third answer including a re-ranked list of the first number of documents, and generating a final response including the second answer and one or more documents among the third answer.

Abstract: Aspects of the subject disclosure may include, for example, determining whether a first device is communicating under a bandwidth surplus with a fixed network, wherein the bandwidth surplus results at least in part from use by the first device of one or more link aggregation groups, wherein the one or more link aggregation groups comprise one or more satellite broadband communication channels as well as licensed cellular wireless spectrum, unlicensed wireless spectrum, or a combination of the licensed cellular and unlicensed spectrum; determining whether a second device is communicating under a bandwidth deficit with the fixed network; and responsive to the first device communicating under the bandwidth surplus and responsive to the second device communicating under the bandwidth deficit, allocating at least a portion of the bandwidth surplus associated with the first device to the second device. Other embodiments are disclosed.

Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.