Abstract: Aspects of the subject disclosure may include, for example, receiving a first request for a first communication service from a first end user device operated by a first user, where the first request provides or can be utilized to obtain first service information associated with first service parameters corresponding to the first user according to a first root ID provided to the first end user device by the first user; providing, over a network, first immersive media for presentation by the first end user device in response to the first request, where the first immersive media is provided utilizing the first network slice, the first spectrum resource allocation, and the first RAT that are selected according to the first service parameters. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining, by an end user device, a destination location for the end user device; determining, by the end user device, frequency band data for the destination location according to connection data stored in a memory of the end user device; responsive to or after exiting an airplane mode of the end user device, scanning, by the end user device, bands of a cellular network providing coverage to the destination location, where the scanning is according to the frequency band data; and attaching, by the end user device, to a cell of the cellular network based on the scanning of the bands. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to software-defined wide-area network (“SD-WAN”) self-service for service assurance. The proposed SD-WAN self-service solution can be used for any policy-driven system that automatically troubleshoots the problems resulting from hybrid SD-WAN network activities, including virtual private network (“VPN”), IP tunnel, IPSec, and security policies. According to one aspect disclosed herein, a method can check network configurations, analyze switch responses, and locate network problems quickly. Moreover, the method can test the functionality of a rules-based troubleshooting software effectively without employing expensive testing equipment and with minimal human intervention.

Abstract: Determining and using elevation of a user device can include generating router location data that comprises an identifier that identifies a router that is located at a geographic location and data that specifies an elevation at which the router is located at the geographic location and detecting an elevation data request. The elevation data request can identify the router and can be associated with a user device. The router location data can be queried to determine the elevation at which the router is located. Based on the elevation at which the router is located, elevation data can be generated. The elevation data can indicate the elevation at which the router is located and the elevation data can be sent to the user device.

Abstract: A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.

Abstract: An example method includes calculating a plurality of scores for a test media clip using a plurality of authenticity algorithms, where the test media clip depicts a person, and wherein each authenticity algorithm of the plurality of authenticity algorithms generates a respective score of the plurality of scores which indicates a likelihood that the test media clip is authentic, testing each authenticity algorithm of the plurality of authenticity algorithms against a plurality of historical media clips, in order to determine, for the each authenticity algorithm, a reliability of the each algorithm in terms of being able to estimate authenticity, deriving a plurality of weights based on the testing, wherein each weight of the plurality of weights is associated with one algorithm of the plurality of authenticity algorithms, and computing a cumulative authenticity score for the test media clip, by aggregating the plurality of scores weighted by the plurality of weights.

Abstract: Aspects of the subject disclosure may include, for example, system and apparatus that enable operations that may include receiving, by a processing system, project data defining a proposed machine learning (ML) project of an entity and storing the project data in a project database with other project data for other projects. The operations may further include extracting extracted features of the proposed project and, based on the extracted features, determining a clustering assignment for the proposed project. Determining the clustering assignment may comprise comparing information about the proposed project including the extracted features with information about the other projects and assigning the proposed project to a cluster including one or more projects having similar bias characteristics as the proposed project. The operations may further include determining a risk of potential bias for the proposed project and, based on the risk of bias, recommending a corrective action to reduce the risk of bias.

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, determining characteristics of autonomous devices, detecting an area in which wireless services provided are deficient, and causing an autonomous device to move to the area and extend wireless coverage in the area. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first identification of a first application executed by a first user equipment as part of the first user equipment obtaining a first communication service, determining, based on the obtaining of the first identification of the first application, a first requirement pertaining to latency associated with data transfer operations as part of the first communication service, determining, based on the obtaining of the first identification of the first application, a second requirement pertaining to reliability associated with the data transfer operations, processing at least the first requirement and the second requirement to select a first value for a first parameter pertaining to a number of retransmissions that are to be associated with the data transfer operations, and configuring the first user equipment per the first value. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining media content from a content provider via a communication network that includes cells each associated with user equipment devices (UEs); obtaining information from a network element of the communication network, where the information includes cell load data for each of the cells and mapping data for the cells and associated UEs, and is collected by the network element in real time; determining that a cell is congested based on the information; performing, for a UE of the congested cell, a congestion shaping (CS) procedure that includes a shaping level for a media content flow associated with that UE; and adjusting the CS procedure based on additional information provided by the network element in real time or near-real time. Other embodiments are disclosed.

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 a query for 5G Session Management Functions (SMFs) to handle a connection request, wherein the query includes a slice ID and data network name; determining a list of SMFs that each have a blockchain ID immutably recorded on a blockchain, wherein the blockchain ID is authorized to provide service to the slice ID; and sending, responsive to the query, the list of SMFs. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system generates a mapping record including static mapping data for cells in a communication network and user equipment devices associated with those cells. The method also includes obtaining cell load data representing video content distributed to the cells from the processing system; determining, based on the cell load data, that a cell is congested; identifying user equipment devices associated with the congested cell; and performing, for each of the user equipment devices associated with the congested cell, a congestion shaping (CS) procedure that includes a shaping level for a video content flow associated with that user equipment device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains information from a network element of a communication network that includes cells each associated with user equipment devices (UEs); the information includes mapping data for each of the cells and the UEs associated with the respective cells, and the network element is in communication with the processing system via the communication network. The method also includes generating a historical record of cell load data representing content distributed to the cells from the processing system; determining that a cell is congested, based on the historical record; and performing a congestion shaping (CS) procedure for each of the UEs associated with the congested cell. Other embodiments are disclosed.

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

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.

Abstract: According to one or more embodiments, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include establishing a wireless connection to a wireless network. The operations can further include receiving, via the wireless connection, data from a gateway device, that has been communicated via a network device of a publicly accessible network, wherein the data has been compared, by the gateway device, to a template of anomalous activity.

Abstract: An example method includes receiving a first signal indicating that a user of a first user endpoint device wishes to engage in a data transfer with a second device over a communication network, estimating at least one metric associated with the data transfer, sending the at least one metric associated with the data transfer to a remote server, and initiating the data transfer with the second device in accordance with a temporarily adjusted throughput that is adjusted by the remote server in response to the at least one metric associated with the data transfer.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, from a user device, a master-slave agreement and a first network configuration for a federated blockchain network, transmitting to a cloud service provider (CSP) node the first network configuration, generating first credentials, and transmitting the first credentials to the CSP node. The CSP node configures a first group of blockchain nodes according to the first network configuration and the first credentials. Further embodiments include transmitting the first credentials to a public server that sends it to a public blockchain node and an indication to generate a portion of the federated blockchain network. The public blockchain node configures a second group of blockchain nodes according to a second network configuration based on a public blockchain smart contract. The federated blockchain network comprises the first group of blockchain nodes and the second group of blockchain nodes. Other embodiments are disclosed.