Abstract: Embodiments described herein may provide for the return (e.g., reconnection) of a User Equipment (“UE”) to a first radio access network (“RAN”) to which the UE was connected, after the UE has been redirected to a second RAN based on the occurrence of an event. The event may include a voice call placed by or to the UE. The return of the UE to the first RAN may occur based on a request from the UE, such as a request made via Radio Resource Control (“RRC”) messaging. The UE may make the request upon termination of the voice call. The first RAN may queue downlink data for the UE, received from a core network or some other source, based on receiving the request, in order to allow the UE to be instructed to connect to (e.g., be redirected to) the first RAN.

Abstract: The present teaching generally relates to detecting providing pre-validated data buckets for online experiments. In a non-limiting embodiment, user activity data representing user activity for a first plurality of user identifiers may be obtained. A first set of values and a second values, representing first and second user engagement parameters, respectively, may be generated for each user identifier based on the user activity data. A first ranking and a second ranking may be determined for the first and second sets, respectively. A first exclusion range including a first number of values to be removed from the first and second sets may be determined. A homogenous value set may be generated by removing the first number of values from the first and second sets, where each value from the homogenous value set corresponds to a user identifier available to be placed in a data bucket for an online experiment.

Abstract: A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on “user” traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to “synthetic” or “test” traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a “speed test” or the like).

Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.

Abstract: Embodiments described herein provide for the selective connection of a User Equipment (“UE”), that is camped on a Fifth Generation (“5G”) network during a Voice over WiFi (“VoWiFi”) call, to another network (e.g., a Long-Term Evolution (“LTE”) network). In this manner, if the WiFi connection is dropped, the UE may resume the call via the LTE network rather than first handing over to the 5G network.

Abstract: A device may cause a short range wireless communication component to scan for threshold signals. The device may receive a plurality of threshold signals associated with short range wireless communication devices, the short range wireless communication devices being associated with a plurality of products. The device may determine received signal strength indicators (RSSIs) of the plurality of threshold signals; and may identify, based on the RSSIs, a short range wireless communication device, of the short range wireless communication devices, that is nearest the device. The device may establish a short range wireless communication connection with the short range wireless communication device, the short range wireless communication device being associated with a product. The device may obtain, via the short range wireless communication connection, product information associated with the product; and may perform an action associated with rendering the product information on a display of the device.

Abstract: In an exemplary method, a traffic monitoring subsystem receives mobile device attribute data from a plurality of mobile devices over a network, selectively aggregates the mobile device attribute data, the selectively aggregating including identifying anomalous data in the mobile device attribute data and excluding the anomalous data from the aggregated mobile device attribute data, and generating traffic condition data based at least in part on the aggregated mobile device attribute data, the traffic condition data representative of a traffic condition. In certain examples, the traffic monitoring system provides the traffic condition data to at least one of the mobile devices.

Abstract: A system described herein may provide a technique for maintaining and implementing a dynamic uplink grant policy for a User Equipment (“UE”) connected to a base station of a radio access network (“RAN”) of a wireless telecommunications network. The dynamic uplink grant policy may be based on historical utilization of radio frequency (“RF”) resources granted to the UE, which may be based on a historical amount of padding (e.g., versus user plane data) included in uplink transmissions from the UE to one or more base stations associated with the wireless telecommunications network. The dynamic uplink grant policy may indicate an amount by which resource grants for a UE should be reduced, compared to an amount of resources requested by the UE.

Abstract: A stream management platform may receive a request to provide, via a network, a content stream to an area, wherein the request indicates a requested latency associated with providing the content stream to the area. The stream management platform may determine an entry node of the network that is to receive the content stream from a content source. The stream management platform may identify a plurality of transmission nodes associated with the area. The stream management platform may determine respective latencies associated with multicasting the content stream from the entry node to the plurality of transmission nodes. The stream management platform may determine whether the respective latencies satisfy the requested latency. The stream management platform may perform, based on whether the respective latencies satisfy the requested latency, an action associated with the content stream according to the respective latencies.

Abstract: Systems and methods provide a short data, low latency service using a Multi-access Edge Computing (MEC) network. A network device receives, in a core network, an attach request from an end device and detect whether a packet size range for data transmissions from the end device is within a configured size threshold. The network device directs, when the packet size is within the configured size threshold, routing of the data transmissions via a control plane function of an edge network to a local instance of an application server in the edge network. The network device directs, when the packet size is over the configured size threshold, routing of the data transmissions via a user plane function of the edge network to a local instance of an application server in the edge network.

Abstract: One or more devices may detect an indication of relevant multiple images of an environment of a vehicle. The indication may include at least one of input from a user of the vehicle, a set of instructions, or a threshold measurement by a sensor. The one or more devices may mark the multiple images of the environment as relevant. The one or more devices may identify corresponding types of one or more objects shown in the multiple images. The one or more devices may determine whether the multiple images show an occurrence of an event with respect to the one or more objects. Detection of the event may be based on determining corresponding locations of the one or more objects in relation to each other or to the vehicle. The one or more devices may perform, based on whether the multiple images show the occurrence of the event, one or more actions.

Abstract: The present teaching relates to a method, system and programming for searching a data storage. A key is extracted from a request and a metadata object associated with the key is identified. Further, a determination is made as to whether the metadata object is associated with a data structure stored in a first portion of the data storage. In response to a successful determination, the data structure is searched to retrieve a value associated with the key from the first portion. In response to an unsuccessful determination, a cache is searched to retrieve the value associated with the key, and in response to the key being absent in the cache, a file associated with the metadata object is searched to retrieve the value associated with the key, wherein the file is stored in a second portion of the data storage.

Abstract: A user device provides, to a network, information associated with the user device, and receives, from the network, a multi-bit network indication that indicates access technologies, services, and network capabilities provided by the network. The user device determines whether the user device is in a home network or a visited network based on the multi-bit network indication. The user device passes bits of the multi-bit network indication to an upper layer when the user device is in the home network or passes a portion of the bits of the multi-bit network indication to the upper layer when the user device is in the visited network. The user device receives a selection of one of the access technologies, the services, or the network capabilities, and receives, from the network, the one of the access technologies, the services, or the network capabilities for the user device based on the selection.

Abstract: An illustrative user interface (UI) remote streaming system obtains a UI dataset that defines a user-customized UI that includes a set of UI elements and that provides a client device access to multi-access edge computing (MEC) resources. Based on the UI dataset, the system streams data to and from the client device. The streaming data is configured to direct the client device to present the user-customized UI to a user of the client device to allow the user to manipulate the MEC resources using the set of UI elements. While the streaming data is being streamed to and from the client device, the system detects a property of the MEC resources accessed by the client device and, based on the detecting of the property, changes the set of UI elements included within the user-customized UI. Corresponding methods and systems for remote streaming of a user-customized UI are also disclosed.

Abstract: A device can receive, from first user equipment, information that relates to a first application, where the information includes a plurality of S-NSSAI. The device can determine whether the plurality of S-NSSAI are configured as a group of associated S-NSSAI. The device can determine that a preference is to be given to one of: communication sessions associated with the first application relative to a communication session associated with a second application, that does not utilize multiple network slices, of the first user equipment or second user equipment; traffic flows associated with the first application relative to a traffic flow associated with the second application; or a plurality of network slices associated with the first application relative to a network slice associated with the second application. The device can perform one or more actions based on determining the preference to thereby facilitate a particular functionality of the first application.

Abstract: Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.

Abstract: An exemplary mobile edge compute (“MEC”) server implementing an extended reality audio processing system generates a near-field audio data stream and a far-field audio data stream. The near-field audio data stream is configured to be rendered by a near-field rendering system, while the far-field audio data stream is configured to be rendered by a far-field rendering system. The near-field and far-field audio data streams are each representative of virtual sound presented to an avatar of a user experiencing an extended reality world. The MEC server provides the near-field and far-field audio data streams to a media player device separate from the MEC server and implementing the near-field and far-field rendering systems. Specifically, the MEC server provides the audio data streams for concurrent rendering by the media player device as the user experiences the extended reality world using the media player device. Corresponding methods and systems are also disclosed.

Abstract: The embodiments provide systems and methods for efficiently and accurately differentiating requests directed to uncacheable content from requests directed to cacheable content based on identifiers from the requests. The differentiation occurs without analysis or retrieval of the content being requested. Some embodiments hash identifiers of prior requests that resulted in uncacheable content being served in order to set indices within a bloom filter. The bloom filter then tracks prior uncacheable requests without storing each of the identifiers so that subsequent requests for uncacheable requests can be easily identified based on a hash of the request identifier and set indices of the bloom filter. Some embodiments produce a predictive model identifying uncacheable content requests by tracking various characteristics found in identifiers of prior requests that resulted in uncacheable content being served.

Abstract: An illustrative volumetric capture system accesses a machine learning model associated with bodies of a particular body type, as well as a two-dimensional (2D) image captured by a capture device located at a real-world scene. The 2D image depicts a body of the particular body type that is present at the real-world scene. Using the machine learning model and based on the 2D image, the volumetric capture system identifies a 2D joint location, from a perspective of the capture device, of a particular joint of the body. The volumetric capture system also generates a three-dimensional (3D) reference model of the body that represents the particular joint of the body at a 3D joint location that is determined based on the 2D joint location identified using the machine learning model. Corresponding methods and systems are also disclosed.

Abstract: A network device, in a first wireless network operated by a first network operator, receives a first location of a user equipment device (UE) and a second location of a Multi-Access Edge Computing data center (MEC) operated by a second network operator. The network devices performs at least one of: 1) determining a closest gateway or user plane function (UPF) to the MEC data center within the first wireless network; or 2) deploying a Virtual Network Function (VNF) in a particular hosting center that is close to the MEC. The network device sets up a connection between at least one of the determined closest gateway or UPF and the MEC, or the deployed VNF and the MEC, to enable the UE to access the MEC via the first wireless network.