Abstract: A CPE device may include a plurality of CPE modules implemented in hardware. The plurality of CPE modules may include a first module and a second module. The first module and the second module may be arrangeable in a stacked configuration. The first module may include a first interconnection interface component disposed on a top surface of the first module. The second module may include a second interconnection interface component disposed on a bottom surface of the second module. The second interconnection interface component may be configured to complementarily couple to the first interconnection interface component when the first module and the second module are arranged in the stacked configuration.

Abstract: A network device may receive a request for functionality to switch to wideband audio at a user device receiving over-the-top (OTT) video and OTT audio associated with a video conferencing application provided by an application server. The network device may switch from the OTT audio to the wideband audio, for the video conferencing application, based on receiving the request for the functionality. The network device may provide the wideband audio associated with the video conferencing application to the user device to cause the user device to provide the OTT video and the wideband audio independently.

Abstract: A User Equipment (“UE”) described herein may connect or request connection to a base station of a wireless network. The base station may implement multiple frequency bands, and connecting or requesting connection to the base station may include connecting or requesting connection via a particular frequency band of the multiple frequency bands. The UE may provide an indication of the particular frequency band to a core of the wireless network. The core may select a set of parameters for communications between the UE and the wireless network based on the indication of the particular frequency band. Additionally, or alternatively, the core may provide an indication of the particular frequency band to a device that provides a service to the UE via the wireless network, and the device may select parameters for the service based on the indication of the particular frequency band.

Abstract: A system described herein may maintain policy information associating a plurality of network credentials with respective device identifiers of User Equipment (“UEs”) that are authorized to use respective network credentials to access a network. The system may receive network monitoring information indicating that a particular UE, associated with a particular device identifier, is accessing the network using a particular network credential; compare the particular device identifier and the particular network credential to the policy information; determine, based on comparing the particular device identifier and the particular network credential to the policy information, that the particular UE is not authorized to use the particular network credential; and output a notification to the network that the particular UE is not authorized to use the particular network credential to access the network, wherein the network suspends the particular network credential based on the notification.

Abstract: A method and system of providing private data privately when such data is requested from a VCD utilizes a communications network to communicate with a service containing the private data to determine if the data is private. Once the data is determined as being private, instead of being sent to the VCD to be broadcasted audibly, the data may be transmitted to a user's preferred device to be presented privately to the user.

Abstract: A method, a device, and a non-transitory storage medium are described in which a Wi-Fi admission control and prioritization service is provided. The Wi-Fi admission control and prioritization service may be included in a Wi-Fi access device. The Wi-Fi admission control and prioritization service may include the Wi-Fi access device reserving Wi-Fi data connections for priority users. An end device may transmit priority information to the Wi-Fi access device during a Wi-Fi connection establishment procedure. The Wi-Fi access device may use one of the reserved data connections to establish a Wi-Fi connection with the end device. The priority information may include a non-Wi-Fi access control class value that indicates the end device is of a high priority. The Wi-Fi access device may provide quality of service and prioritization, which is in correspondence to the priority information, to traffic of the end device that traverses the Wi-Fi access device.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to receive a session request from an application function (AF) device for a user equipment (UE) device and select a network slice based on the AF device. The computer device may be further configured to send a slice selection trigger to an Access and Mobility Function device for the UE device in response to selecting the network slice, wherein the slice selection trigger includes an instruction to UE device to request the selected network slice; receive a notification from a User Plane Function device associated with the selected slice, wherein the notification identifies a Packet Data Unit session between the UPF device and the UE device; and instruct the AF device to start a session with the UE device via the identified PDU session.

Abstract: Disclosed are systems and methods for performing distributed, keyless authorized electronic transactions. The disclosed systems and methods provide an electronic transaction framework where hardware and/or software devices can be used to authenticate users and/or authorize transactions involving such users. The disclosed framework operates as a distributed system in that it can be built without an entity that all parties must trust. The framework relies entirely on one-way functions and avoids using both symmetric and asymmetric cryptography; therefore, the framework does not have secret keys that can be compromised. The framework provides a distributed, electronic authorization system that does not require a reference clock to which components are synchronized, thereby enabling dynamic, agile authorization with improved security for user and transactional data.

Abstract: A device may receive video data identifying videos associated with one or more unsafe driving events by a driver of a vehicle, and may process the video data, with a machine learning model, to determine classifications for the videos. The device may assign tags to the videos based on the classifications, and may calculate event severity scores based on the classifications. The device may calculate tag scores based on the tags assigned to the videos, and may calculate time-to-contact scores, box cross scores, day/night scores, weather scores, and road condition scores based on the video data. The device may calculate video risk scores for the videos based on the event severity scores, the tag scores, the time-to-contact scores, the box cross scores, the day/night scores, the weather scores, and the road condition scores, and may provide one or more of the video risk scores for display.

Abstract: A device may receive network data identifying a topology of network devices of a network, quality of service (QoS) rules for user equipment (UEs) and application flows associated with the network, QoS profiles for a radio access network (RAN) of the network, and service data flow (SDF) templates. The device may process the network data, with a model, to calculate a network device service level agreement (SLA) score, for each of the network devices on a sliding window, to generate network device SLA scores, and may aggregate the network device SLA scores to generate an end-to-end SLA score on the sliding window. The device may generate QoS configuration data based on the end-to-end SLA score, and may implement the QoS configuration data.

Abstract: A system may provide for the design and/or modification of network slices associated with a wireless network. The wireless network may include different slices that are associated different sets of service parameters. Slices may include radio access networks (“RANs”), core networks, or other types of networks, which may include respective sets of network functions (“NFs”), which may perform specific functions with respect to a given RAN and/or core network. Different slices, RANs, core networks, and/or NFs may be associated with particular policies and/or tags which may be specified by one or more users associated with a first access level. One or more users associated with a second access level may configure portions of the wireless network, and the policies and/or tags associated with particular slices, RANs, core networks, or NFs may be automatically implemented by an orchestration system that configures the wireless network based on the provided configuration information.

Abstract: A device may receive dynamic customer data and static customer data, and may calculate additional customer data based on the dynamic customer data and the static customer data. The device may process the static customer data, the dynamic customer data, and the additional customer data, with a first machine learning model, to determine a next action prediction, and may process the static customer data, the dynamic customer data, and the additional customer data, with a second machine learning model, to determine a next sequence prediction. The device may concatenate the static customer data, the dynamic customer data, the additional customer data, the next action prediction, and the next sequence prediction to generate concatenated data, and may process the concatenated data, with a plurality of machine learning models, to calculate various outputs, and may generate a recommendation for the customer based on the various outputs.

Abstract: A system described herein may provide a technique for receiving a communication session request associated with a particular User Equipment (“UE”). The system may identify locator information associated with an edge discovery system associated with a network that includes a plurality of edge devices, wherein the edge discovery system receives service requests associated with one or more UEs and provides an indication of a respective edge device of the plurality of edge device in response to respective service requests. The system may output, in response to the communication session request, the locator information associated with the edge discovery system, wherein the particular UE communicates with the edge discovery system using the locator information to output a particular service request and receive, from the edge discovery system, an indication of a particular edge device of the plurality of edge devices in response to the particular service request.

Abstract: A system described herein may identify traffic associated with a User Equipment (“UE”) that is connected to a first network. The UE may maintain a plurality of UE identities via one or more SIM (“Subscriber Identification Module”) cards, Universal Integrated Circuit Cards (“UICCs”), etc. The system may determine, based on one or more policies, that the traffic is not authorized via the first network. In some situations, the traffic may not be authorized if the first network does not support a type, service, etc. of the traffic. The system may identify a second network, based on the one or more policies, via which the traffic is authorized, and may indicate the second network to the UE. The UE may automatically (e.g., without user intervention) switch to a particular UE identity that is associated with the second network, and may output the traffic via the second network using such UE identity.

Abstract: In some implementations, a transcription system may generate a first transcript based on audio data of a conversation between a first user and a second user. The transcription system may determine, using a first machine learning model of the transcript system, that a portion of the first transcript is incorrect. The transcription system may generate, using a second machine learning model, additional data for transcribing the audio data based on determining that the portion of the first transcript is incorrect. The additional data is generated using a portion of the audio data corresponding to the portion of the first transcript. The transcription system may generate a second transcript based on the audio data and the additional data. The transcription system may provide the second transcript to one or more devices.

Abstract: Disclosed are systems and methods for an anomaly detection framework that operates as an executable analysis tool for devices to operate in order to determine whether the device contains an unresponsive touch screen (e.g., defective or malfunctioning touch screen). The disclosed framework can analyze the capacitance capabilities of the touch screen, inclusive of the touch layers associated with the touch screen panel, and determine when a device's touch screen is unresponsive to user provided input, which can be any type of touch or gesture provided on a touch screen.

Abstract: A network device executes an account management function that pre-authorizes network service unit consumption by multiple subscribers that are members of a same, shared network service account. The account management function receives, from multiple charging systems distributed within the network, network unit consumption charges associated with each of the multiple subscribers, where the network device is centrally located within a network relative to multiple locations associated with the plurality of charging systems. The account management function updates a consumption counter for the same, shared network service account based on the network unit consumption charges associated with the multiple subscribers received from the multiple charging systems distributed within the network.

Abstract: A system described herein may provide a technique for the discovery and connection of Mesh Distributed Units (“MDUs”), which may establish a mesh topology and perform wireless backhaul of data between a core network and a User Equipment (“UE”). Multiple MDUs in an MDU network may be connected to establish an MDU route. One or more connected MDUs may broadcast an indication that the MDU is available to connect, one or more performance metrics, or an MDU performance score based on performance metrics. This broadcast may iteratively repeat in order to refine the mesh network topology in an ongoing process.

Abstract: A serving gateway device (SGW) can cause establishment of a requested connection to a first PDN for a user device. The SGW can cause suspension of the connection to the first PDN and establishment of a requested connection to a second PDN for the user device based on a requested connection to a second PDN for a user device. The SGW can cause termination of the connection to the second PDN based on the respective end time associated with the second PDN, and cause restoration of the connection to the first PDN after the connection to the second PDN is terminated.

Abstract: One or more computing devices, systems, and/or methods for identifying interference patterns associated with wireless communication sites and/or grouping wireless communication sites based upon identified interference patterns are provided. In an example, signal strength information associated with a wireless communication site communicating with a user equipment (UE) may be determined. An interference pattern representation of one or more interference patterns associated with the wireless communication site may be generated based upon the signal strength information. A plurality of wireless communication sites, including the wireless communication site, may be grouped into groups of wireless communication sites based upon interference pattern representations associated with the plurality of wireless communication sites. The interference pattern representations include the interference pattern representation.