Abstract: In the various embodiments, systems and methods are disclosed for determining the location of User Equipment (UE) in a network and for authorizing access to content based on said location. An aspect of the present disclosure is a method including receiving, by a Content Authorization Function (CAF), a request to provide a UE type of a UE and a physical location associated with the UE, the request including a UE Internet Protocol (IP) address associated with the UE; querying, by the CAF, a Network Function (NF), to provide the UE type and associated physical location, the query including the UE IP address; receiving, by the CAF from the NF, the UE type and associated physical location; and transmitting the UE type and associated physical location.

Abstract: A system described herein may apply an authorized set of traffic parameters, such as network slicing parameters, Quality of Service (“QoS”) parameters, etc. to traffic associated with a particular application, without exposing an identifier of the traffic to one or more network devices of a network that handles the traffic. A client associated with a User Equipment (“UE”) may selectively apply traffic parameters to traffic associated with the particular application further based on whether a UE-side authorization of the particular application for the traffic parameters has been performed. The UE may present a user interface via which a user may select whether to authorize or deny the use of traffic parameters, authorized by the network, for the particular application. If the particular application has been authorized by both the network and the user of the UE, the UE may apply the traffic parameters to traffic associated with the particular application.

Abstract: A device may receive, from a first user device, a first user device identifier and first privacy settings limiting content to only the first user device, and may receive, from a second user device, second privacy settings limiting content to only the second user device during a particular time period. The device may receive, from a third user device, third privacy settings not limiting content, and may receive, from the first user device, a first request for first content. The device may provide, to the first user device, all or a portion of the first content, and may generate first information that includes a first content recommendation based on the first content and/or a first indication of the portion of the first content. The device may provide the first information only to the first user device based on the first privacy settings and the first user device identifier.

Abstract: A device described herein, such as a User Plane Function (“UPF”) of a core network or some other network element, may receive traffic associated with a first User Equipment (“UE”) and a second UE. The traffic may include a first set of packets associated with the first UE and a second set of packets associated with the second UE. The first and second packets may be received in a first sequence. The device may generate a second sequence by re-sequencing the received traffic based on Quality of Service (“QoS”) parameters associated with the traffic, such as 5G QoS Identifier (“5QI”) values. The device may generate a third sequence by re-sequencing the second sequence based on parameters associated with at least the first UE or the second UE. The device may output at least a portion of the received traffic in accordance with the third sequence.

Abstract: A network device may select a first user plane function for establishing, with a user equipment, a protocol data unit session with a single flow and may receive an application function trigger associated with a first new flow for a first application of the user equipment. The network device may cause a first traffic filter to be provided to the user equipment to enable the user equipment to route first application traffic, based on the first traffic filter, to a second user plane function and a first multi-access edge computing device associated with the second user plane function.

Abstract: A device may receive event data identifying events associated with user devices utilizing a video conferencing system, and may utilize the event data to train one or more fraud detection models. The device may receive, from a user device, user traffic including at least one of API traffic or media traffic, and may identify characteristics of the user traffic, such as activity related features, application-specific features, and dial-in number-specific features. The device may process at least one of the activity related features, the application-specific features, or the dial-in number-specific features, with the one or more fraud detection models, to determine whether the user traffic from the user device is anomalous or normal, and may block at least one of an IP address of the user device, a telephone number of the user device, or a meeting of the user device, based on determining that the user traffic is anomalous.

Abstract: A device may receive a ticket identifier associated with a ticket, a vehicle identifier associated with a vehicle, and video data tracking the vehicle to a parking spot in a parking area. The device may process the video data, with models, to identify the parking spot and a parking spot location, and may associate the ticket identifier, the vehicle identifier, and the parking spot location. The device may receive a starting location of a user device associated with a user of the vehicle, and the ticket identifier based on the user scanning the ticket. The device may determine the parking spot location based on the ticket identifier, and may process the starting location and the parking spot location, with a path model, to calculate a navigation path from the starting location to the parking spot location. The device may provide the navigation path to the user device.

Abstract: A device may identify, in multi-context text data, unrelated text and coreference text, and may extract coreference clusters, coreference sentences, and coreference sentiments based on the coreference text. The device may extract unrelated sentences from the unrelated text, and may assign tenses to the coreference sentences and the unrelated sentences. The device may extract phrases and entities from the coreference sentences and unrelated sentences, and may assign tense flags that exclude present tense sentences. The device may select past tense phrases and future tense phrases, and may combine the past tense phrases and the future tense phrases to generate phrases. The device may identify invalid phrases in the phrases, and may identify similarities between the coreference sentences and the invalid phrases. The device may process the coreference text, the coreference tenses, the coreference sentiments, and the similarities, with a reinforcement learning model, to generate final context text.

Abstract: In some implementations, a device may receive file location information identifying a file to be transferred to a user device associated with the first network provider, wherein the file location information identifies a domain name associated with a second network provider. The device may provide, based on the file location information, a request to obtain one or more records associated with the domain name. The device may receive the one or more records based on the request. The device may selectively obtain, based on the one or more records, the file from a first content device associated with the second network provider or from a second content device associated with a third-party provider. The device may provide the file to the user device.

Abstract: Systems and methods are provided for transferring state between devices. In one implementation, a gestural input is detected, and a state of a source application is transferred from a first device to a second device in response to the gestural input. The second device may then generate an instance of a target application that corresponds to a representation of the state of the source application received from the first device. In an additional implementation, a state of the target application is transferred from the second device to the first device. The first device then updates a state of the source application to correspond to a representation of the state of the target application received from the second device.

Abstract: An illustrative 3D modeling system accesses 1) a 3D body model bounded by vertices forming an unadorned body (without hair or clothing), and 2) a 2D image depicting an adorned subject (with hair and/or clothing). The set of vertices is configurable to simulate different subjects based on a set of parameters and the adorned subject is outlined in the 2D image by a set of silhouette pixels. The 3D modeling system maps the silhouette pixels to vertices of a particular cross section of the 3D body model using an optimization function configured to even out a distribution of silhouette pixels to vertices. Based on the mapping, the 3D modeling system defines the set of parameters to deform the 3D body model such that the particular cross section conforms to an outline of the adorned subject formed by the set of silhouette pixels. Corresponding methods and systems are also disclosed.

Abstract: Provided is a controller for configuring network devices at different network locations with rules that prevent different sets of clients from accessing specific network resources. The controller may receive a request with an identifier of a first resource from a particular network point of access. The controller may identify one or more network devices (e.g., wireless access point, router, switch, firewall, gateway, etc.) that are in the network path between the particular network point of access and the first resource. The controller may select a particular network device in the network path, may establish a connection to the particular network device, and may configure the particular network device with a rule that prevents access to the first resource from the particular network point of access, while permitting access to other resources from the particular network point of access.

Abstract: A device may receive a selection of a software product and test input data identifying inputs of a test case for the software product. The device may receive the software product based on the selection of the software product and may generate test data for the test case based on the test input data and the software product. The device may process the test data and the software product, with a machine learning model, to generate a test case plan that includes the test data and test steps and may generate test scripts for the test case plan based on the software product. The device may automatically cause the software product to execute the test scripts to generate test results and may perform one or more actions based on the test results.

Abstract: A method, a device, and a non-transitory storage medium are described in which an radio resource management and slice control service is provided. The service may calculate and assign priority weights for processing and transmission of packets received via a network slice and quality of service flow. The service may also calculate and assign a service category set of parameters and values for the packets. The service may calculate the priority weights and the service category set of parameters and values based on a network slice identifier and a quality of service flow identifier. The service may priority weights and service category set of parameters and values may be compatible with stand-alone and non-stand-alone configurations. The service may also provide transport priority to the packets and slice-aware migration, as described herein.

Abstract: An exemplary method includes a scene annotation system accessing image scan information of a scene captured by an imaging device of a computing device, generating, based on the image scan information, depth data associated with one or more objects in the scene, providing a two-dimensional (2D) annotation grid for concurrent display together with an image of the scene, at least part of the 2D annotation grid mapped to the depth data, receiving a user input (e.g., via hand gesture, touch screen, mouse, and/or keyboard) that selects a portion of the 2D annotation grid and a corresponding position within the scene where a digital object will be anchored based on the depth data, and instructing the computing device to display, by way of a display device of the computing device and based on the user input, the digital object anchored at the corresponding position within the scene.

Abstract: A Multi-access Edge Computing (MEC) device receives first parameters associated with a user device from a first radio access network (RAN) device. The MEC device performs functions associated with an application being executed by the user device and the MEC device is co-located with the RAN device. The MEC device receives second parameters associated with the user device from a core network device. The MEC device modifies performance of the functions based on the received first and second parameters and provides third parameters associated with the user device to a second RAN device that is co-located with the MEC device for adjusting performance of a network.

Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON application's effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network, which can be based on an aggregate determination of a net performance gain (NPG) of the SON applications. The framework can leverage the NPG to modify, configure and/or further maintain network operations so as to improve control and management of the network and the applications operating thereon.

Abstract: A method, device, and non-transitory computer-readable medium provide for scanning, by a device, a radio service area of a small cell radio access node to detect radio signals of one or more radio frequency (RF) bands, the radio signals including transmissions associated with one or more other small cell radio access nodes that are operating in a vicinity of the small cell radio access node, and the small radio access node being configured to alternately operate at multiple RF bands including the one or more RF bands; determining, by the device, a signal strength associated with each of the one or more RF bands; and dynamically optimizing, by device, operation of the small cell radio access node based on the signal strength associated with each of the one or more RF bands.

Abstract: A device may receive channel data associated with a channel provided between a network and a user device, and may calculate, based on the channel data, key performance indicator data that includes a plurality of key performance indicators for the channel. The device may multiply the plurality of key performance indicators by factors to generate factored key performance indicator data that includes a plurality of factored key performance indicators. The device may apply weights to the plurality of factored key performance indicators of the factored key performance indicator data to generate factored weighted key performance indicator data that includes a plurality of factored weighted key performance indicators. The device may calculate a quality indicator for the channel based on the factored weighted key performance indicator data, and may perform one or more actions based on the quality indicator for the channel.

Abstract: A device, located in a core network associated with a radio access network (RAN), may include a processor configured to expose services or capabilities to application servers outside the core network, wherein the device is located in a core network associated with a radio access network (RAN). The processor may be further configured to receive a subscriber identifier message from a gateway device that established a connection to a user equipment (UE) device via the RAN, wherein the subscriber identifier message includes information identifying the UE device; receive a request from an application server associated with the connection for the information identifying the UE device; and provide the requested information identifying the UE device to the application server, in response to receiving the request from the application server.