Abstract: A base station device may include a memory configured to store instructions and a processor configured to execute the instructions to obtain one or more radio signal quality parameter values associated with a user equipment (UE) device and determine a channel quality class associated with the UE device based on the obtained one or more radio signal quality parameter values using a machine learning model. The processor may be further configured to identify an application data stream associated with the UE device, select an application bandwidth for the application data stream based on the determined channel quality class, and send application data associated with the application data stream to the UE device based on the selected application bandwidth.

Abstract: Systems and methods described include receiving traffic associated with a multi-access edge computing (MEC) application hosted at a MEC network; determining an Internet Protocol (IP) address associated with the MEC application, wherein the IP address indicates a priority of the traffic associated with the MEC application; modifying a header of the traffic to include the IP address associated with the MEC application; transmitting the traffic to a wireless station; and routing the traffic based on the priority associated with the MEC application.

Abstract: Systems and methods for discovering and annotating geo-fences from geo-referenced data are disclosed. The systems and methods input an area of interest containing a plurality of geo-referenced points having associated labels, and divides the area interest into cells. Each cell is assigned an initial label from among the plurality of labels and hierarchical clustering is used to find clusters of cells having a common label based on a maximization of an objective function for each cell with the objective function being dependent upon favoring spatially adjacent cells having a common label and limiting overgeneralization of the common label.

Abstract: A device of a RAN may receive first traffic associated with a first network type service, second traffic associated with a second network type service, and core network data associated with a core network that provides the first network type service and the second network type service. The device may calculate a per QCI split based on the core network data, and may calculate an initial resource split based on the per QCI split. The device may provide, to a first device, data identifying the initial resource split, and may receive a traffic bias per QCI based on providing the data identifying the initial resource split. The device may calculate a final resource split for the first traffic and the second traffic based on the traffic bias per QCI, and may cause the final resource split to be implemented via resources associated with the RAN.

Abstract: A device may include a processor configured to determine that a user equipment (UE) device, attached to a base station, is within a coverage area of a small cell operating on a first channel, and that the UE device is not a member of the small cell and is experiencing interference on the first channel. The processor may be further configured to send an instruction to the UE device to provide a measurement report for base stations operating on another band or channel different from the first channel; receive a measurement report from the UE device identifying one or more neighboring base stations operating on the other band or channel; and perform a handover of the UE device to a neighboring base station, wherein the UE device is to communicate with the neighboring base station using the other band or channel.

Abstract: A device may receive information identifying existing virtual network functions (VNFs) associated with an existing virtual radio access network (VRAN), and may receive information identifying proposed VNFs to deploy with the existing VRAN, wherein the information identifying the proposed VNFs includes VNF descriptors indicating interface dependencies associated with the proposed VNFs. The device may generate testing configurations, for testing the proposed VNFs, based on the interface dependencies, and may determine that a set of the proposed VNFs are validated based on testing the proposed VNFs with the testing configurations. The device may derive dependency constraints for the set of the proposed VNFs based on the information identifying the existing VNFs, and may select a new VNF that satisfies the dependency constraints, based on the set of the proposed VNFs. The device may cause the new VNF to be deployed with the existing VRAN.

Abstract: A device initiates voice communication sessions with a media resource function processor (MRFP) of a network, where each voice communication session communicates audio data via one or more network devices of the network. For each voice communication session, the device sends first audio data to the MRFP and receives second audio data from the MRFP via the voice communication session, processes the first audio data and second audio data to determine one or more characteristics of the second audio data, and generates a record concerning the voice communication session based on the one or more characteristics of the second audio data. The device generates a report based on a respective record of each voice communication session, processes the report using an artificial intelligence technique to identify an issue concerning at least one network device, and performs, based on identifying the issue, an action concerning the at least one network device.

Abstract: A network device in a Multi-Access Edge Computing (MEC) cluster is configured to: receive, from a wireless station, information associated with a User Equipment (UE) device that is wirelessly attached to a network through the wireless station and estimate a first time interval to complete a task for the UE device based on the information. If the first time interval is less than a threshold time interval, the processor is to: signal, through the wireless station, to the UE device to be in a connected state; execute the task; and send a result of the execution, through the wireless station, to the UE device.

Abstract: In some implementations, a device may receive a session initiation protocol (SIP) message. The device may determine that the SIP message does not include a parameter indicating that a first portion of the SIP message is to be processed as a telephone number. The device may perform one or more actions including one or more of: determining whether a second portion of the SIP message includes information identifying a service; determining whether the first portion of the SIP message includes a code; determining whether the first portion of the SIP message is formatted according to a format associated with a telephone number; or determining whether the first portion of the SIP message includes characters that are different than hexadecimal characters. The device may selectively cause the SIP message to be routed using the first portion of the SIP message or routed using the second portion of the SIP message.

Abstract: A method, device, and computer-readable medium provide for establishing, by a repeater device, a communication channel with a fixed wireless access (FWA) device; receiving, by the repeater device, reference signals from a wireless station; forwarding, by the repeater device, the reference signals to the FWA device; transmitting, by the repeater device, a first uplink signal from the FWA device using a first transmission power level to the wireless station, wherein the first transmission power level is a predetermined value; receiving, in response to the first uplink signal, transmit power control (TPC) command parameters from the FWA device via the communication channel; adjusting, by the repeater device and based on the first TPC command parameters, the first transmission power level from the predetermined value to an adjusted value; and transmitting, at the adjusted transmission power level, a second uplink signal from the FWA device to the wireless station.

Abstract: A network device in a Multi-Access Edge Computing (MEC) cluster may receive a request for a service that requires use of a resource of a first type; and determine whether a resource utilization level, associated with the resource, at a MEC device in the MEC cluster exceeds a threshold. When the network device determines that the resource utilization level exceeds the threshold, the network device may determine whether a candidate MEC device is available within the MEC cluster to provide a resource of the first type; and enable the service to be provided.

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: A device, method, and system for forwarding, to a pod, a utility container associated with each of at least one network service for enabling a pre-registration of a network function (NF) with an NF registration function (NRF); sending, from the utility container, an authorization code to an NF authorization platform, wherein the authorization code is associated with the at least one network service; suspending a registration procedure for the NF with the NRF until the authorization code is forwarded from the NF authorization platform to the NRF; and resuming, responsive to a service registration request, the registration procedure based on a validation of the authorization code identified in the service registration request.

Abstract: Software for a website hosting short-text services creates an index of buckets for locality sensitive hashing (LSH). The software stores the index in an in-memory database of key-value pairs. The software creates, on a mobile device, a cache backed by the in-memory database. The software then uses a short text to create a query embedding. The software map the query embedding to corresponding buckets in the index and determines which of the corresponding buckets are nearest neighbors to the query embedding using a similarity measure. The software displays location types associated with each of the buckets that are nearest neighbors in a view in a graphical user interface (GUI) on the mobile device and receives a user selection as to one of the location types. Then the software displays the entities for the selected location type in a GUI view on the mobile device.

Abstract: A base station device broadcasts a base station identifier. The base station identifier is assigned to the base station device, and is broadcasted in one or more system information messages that are receivable by user devices located within a threshold distance from the base station device. The base station device determines whether the base station identifier is to be altered, and processes the base station identifier to generate an altered base station identifier for the base station device. The base station device performs one or more actions to cause the altered base station identifier to be broadcasted. The altered base station identifier is broadcasted in one or more additional system information messages that are receivable by the user devices.

Abstract: In an embodiment, a system can determine geocoded data from a database of geographic coordinates and metadata. The system correlates metadata, such as invoice data, to geolocation data, such as GPS or cellular data to determine geocoded data. The system further identifies one or more geographic coordinates for one or more location names, which may not have a corresponding metadata entry, by generating clusters of geographic coordinates. The clusters are then matched to one or location names using a matching algorithm. Accordingly, improved geocoded data may be determined.

Abstract: An illustrative room identification system performs augmented reality room identification based on free-hand image capture and room-object profile data. The room identification system obtains a set of reference room-object profiles for a set of rooms associated with an experience presented by an augmented reality presentation device. The room identification system generates a live room-object profile based on an image captured by the presentation device during the augmented reality experience, the image depicting a particular room of the set of rooms. Based on the live room-object profile and the set of reference room-object profiles, the room identification system determines that the presentation device is located in the particular room of the set of rooms and provides, to the presentation device, an indication of the determination that the presentation device is located in the particular room. Corresponding methods and systems are also disclosed.

Abstract: An illustrative augmented reality tracking system obtains a volumetric feature descriptor dataset that includes: 1) a plurality of feature descriptors associated with a plurality of views of a volumetric target, and 2) a plurality of 3D structure datapoints that correspond to the plurality of feature descriptors. The system also obtains an image frame captured by a user equipment (UE) device. The system identifies a set of image features depicted in the image frame and detects, based on a match between the set of image features depicted in the image frame and a set of feature descriptors of the plurality of feature descriptors, that the volumetric target is depicted in the image frame. In response to this detecting and based on 3D structure datapoints corresponding to matched feature descriptors, the system determines a spatial relationship between the UE device and the volumetric target. Corresponding methods and systems are also disclosed.

Abstract: A device may receive location information associated with a fixed service satellite station (receiver) configured to communicate via a first radio frequency (RF) band. The device may obtain historical communication data associated with the location and relating to previous communications conducted via a second RF band, of user equipment (UEs). The historical communication data may include historical signal power measurements of the previous communications. The device may adjust the historical signal power measurements to model estimated signal power measurements relating to a UE to communicating via a first RF band. The device may determine, based on the estimated signal power measurements, an interference score associated with a probability of a UE interfering with the receiver when communicating, via a first RF band, with a base station.

Abstract: Systems and methods provide on-demand network slicing to support testing of customer use cases A test network management system receives customer parameters for a use case in a production network. The customer parameters include an identifier for a user equipment (UE) device to be tested with the use case. The test network management system provides, to the UE device, configuration information to associate the UE device with a test mode network segment of the production network. A network device in the production network may receive a registration request, from the UE device, that includes the configuration information. Based on the configuration information, the network device blocks the UE device from accessing the production network. Instead, the test network management system initiates provisioning of the test mode network segment for the UE device; and the network device redirects the registration request to the test mode network segment.