Abstract: A network device may receive, from a first radio access network (RAN), a first registration request associated with a first user device, and may determine, for the first registration request, first multimedia priority service (MPS) access indication parameters that are set to true for provision of MPSs to the first user device. The network device may generate a first registration accept message that includes the first MPS access indication parameters, and may provide the first registration accept message, with the first MPS access indication parameters, to the first user device to enable the first user device to utilize one of the MPSs on the first RAN.

Abstract: A system may select a set of containers to implement a requested service; identify parameters of the set of containers, and maintain information including parameters associated with a plurality of nodes of the virtualized environment. The parameters for one or more of the plurality of nodes may include information associating the one or more nodes with respective elements of the network. The system may compare the parameters of the one or more containers to the parameters of the one or more nodes, and select a set of nodes of the plurality of nodes on which to deploy the selected set of containers. The selecting may include selecting, for each container of the set of containers, a respective node of the set of nodes on which to deploy the each container. The system may deploy the selected set of containers to the set of nodes to implement the requested service.

Abstract: A user device may receive a traffic category and/or slice usage policy, and may provide a request for an application. The user device may receive the application with a traffic category and/or slice usage requirement, and may install the application on the user device. The user device may subscribe to traffic categories and/or slices, and may receive approval to utilize the traffic categories and/or slices. The user device may provide, by the application and to an operating system, a connection request for a particular traffic category and/or slice, and may determine whether the application is approved for the particular traffic category and/or slice. The device may provide, to a modem, the connection request and traffic descriptors for the particular traffic category and/or slice based on the application being approved, and may establish a protocol data unit session, for the application, utilizing the particular traffic category and/or slice.

Abstract: An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.

Abstract: A source network device may receive a multicast data stream to be provided to a plurality of network devices of a network, and may generate, for the multicast data stream, a segment routing header that identifies the plurality of network devices to be provided the multicast data stream. The source network device may cause the multicast data stream to be serially provided to the plurality of network devices identified in the segment routing header without requiring the plurality of network devices to store and reconstruct the segment routing header and without requiring the plurality of network devices to maintain state.

Abstract: A device may receive an identification request or a radio resource control request, and may process the identification request or the radio resource control request, with a machine learning model, to determine whether the identification request or the radio resource control request is secure. The device may permit the identification request or the radio resource control request based on the machine learning model determining that the identification request or the radio resource control request is secure, or may deny the identification request or the radio resource control request based on the machine learning model determining that the identification request or the radio resource control request is unsecure.

Abstract: A system described herein may serve as an interface between one or more radio units (“RUs”) of a wireless network and one or more Distributed Units (“DUs”) of the RAN. The system may maintain information associating a set of RUs with a particular DU. The system may determine that a particular RU of the set of RUs should be disassociated from the particular DU, such as based on load metrics associated with the particular DU exceeding one or more thresholds. The system may disassociate the particular RU from the particular DU by modifying the information associating the set of RUs with the particular DU. The modified may indicate that the particular RU is no longer associated with the particular DU. The system may accordingly facilitate communications between the modified set of RUs, not including the particular RU, and the particular DU.

Abstract: A first network device may receive, from an application server, a first request for a dedicated bearer session for an application with a quality of service (QoS) and for a notification of an idle session for the application. The first network device may generate, based on the first request, a second request to be notified regarding expiration of an idle session timer for the application, and may provide the second request to a second network device. The first network device may receive, from the second network device and based on the second request, a notification of expiration of the idle session timer for the application, and may provide, to the application server, the notification of expiration of the idle session timer for the application.

Abstract: A device may receive network data identifying key performance indicators associated with a base station and user equipment (UEs), UE data identifying UE data records and UE locations, and geographic data identifying a geographic area and features of the geographic area. The device may correlate the network data, the UE data, and the geographic data to generate correlated data. The device may process, the correlated data, with a plurality of machine learning models, to generate a corresponding plurality of results, and may evaluate the plurality of results, with prediction models, to generate a set of results. The device may compare classification cost function weighted predictions and the set of results to generate comparisons, and may select a machine learning model, for the geographic area and from the plurality of machine learning models, based on the comparisons. The device may implement the machine learning model for the geographic area.

Abstract: A system described herein may maintain first information associating Uniform Resource Locator (“URLs”) with respective Internet Protocol (“IP”) addresses of one or more edge computing devices. The system may maintain second information associating User Equipment (“UE”) identifiers with one or more locations. The system may receive a request, from a UE, including an identifier of the UE and a URL, may identify a location of the particular UE based on the identifier of the particular UE, and may compare the URL to the URLs included in the first information. The system may select a particular edge computing device based on the location of the particular UE, and may output, in response to the request, a particular IP address of the selected edge computing device.

Abstract: A device may determine that a failure occurred in an emergency call between a public-safety answering point (PSAP) and a first user device associated with an emergency caller, and may identify, based on determining the failure, one of a first option, a second option, or a third option for redirecting an emergency callback to a contact of the emergency caller. The device may cause, when the first option is identified, the emergency callback to be redirected to a second user device associated with the contact of the emergency caller, and may cause, when the first option is identified, a bearer path to be established between the PSAP and the second user device for the emergency callback.

Abstract: A device associated with a cloud computing environment may receive a selection of a modified template with a cloning agent, and may generate a modified template clone, with the cloning agent, based on the selection of the modified template. The device may analyze, via the cloning agent, virtual hardware of the cloud computing environment to generate fingerprints, and may identify, via the cloning agent, the cloud computing environment based on the fingerprints. The device may determine, via the cloning agent, one or more application programming interfaces based on identification of the cloud computing environment, and may utilize, via the cloning agent, the one or more application programming interfaces to obtain configuration data. The device may configure, via the cloning agent, a virtual machine of the modified template clone, based on the configuration data and to generate a configured virtual machine, and may enable the configured virtual machine to be utilized.

Abstract: Systems and methods may optimize power consumption for RAN devices. A device obtains field data of user equipment (UE) devices for a group of cells during a time interval. The field data includes signal strength measurements. The device computes cell boundaries for each cell based on the field data and predicts signal strength values inside each of the cell boundaries for a future time period. The device computes a cumulative overlap feature and a weighted signal strength feature for each cell of the group of cells during the future time period and generates an energy consumption predictive model that applies the cumulative overlap feature and the weighted signal strength feature for the future time period. The device determines, based on the energy consumption predictive model, optimal cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

Abstract: The present teaching relates to method, system, medium, and implementations for job pricing. When receiving information about a new task of a job type, a mixture model representing historic job completion data and including multiple cluster-based models is used to predict job pricing. The multiple cluster-based models characterize corresponding multiple clusters identified from historic job completion data and are used to generate multiple predictions of duration to complete the new task. The predictions generated based on the cluster-based models are integrated based on the mixture model to generate an overall job pricing estimate for the new task.

Abstract: A routing optimization system may determine a plurality of routes based on one or more changes to an initial route. Each change generates a respective route of the plurality of routes. The routing optimization system may store route information for each route. The route information, for each route, includes cost information identifying a cost associated with the route. The route information is stored in a respective entry of a data structure. The routing optimization system may determine that a particular route, associated with a lowest cost out of costs associated with the plurality of routes, is to be selected from the plurality of routes. The routing optimization system may determine whether an entry, of a plurality of entries associated with the plurality of routes, is empty. The routing optimization system may select the particular route based on the plurality of entries after determining that the entry is not empty.

Abstract: In some implementations, a first device may obtain first channel state information (CSI) of a second device. The first device may determine that a variance of the first CSI exceeds a variance threshold. The first device may determine that a motion event has occurred based on determining that the variance, of the first CSI, exceeds the variance threshold. The first device may determine a location of the motion event based on the first CSI and second CSI of a third device. The first device may adjust an operation of one or more devices associated with the location based on determining the motion event.

Abstract: A system described herein may provide a technique for the predictive determination of regions, such as registration areas associated with a wireless network, with respect to a User Equipment (“UE”) that registers with the wireless network. Such registration areas may be associated with different services, Quality of Service (“QoS”) parameters, network slices, or the like. When registering with the wireless network, the UE may receive an indication of a registration area that includes multiple tracking areas, which include a tracking area in which the UE is currently located and one or more other tracking areas in which the UE is likely to enter, as predicted based on one or more artificial intelligence/machine learning (“AI/ML”) models. The prediction may be based on the current location of the UE, UE attributes or parameters, and/or historical location information associated with the UE and/or other UEs.

Abstract: A method, a device, and a non-transitory storage medium are described in which a network slice usage subscription service is provided. The network slice usage subscription service may allow a network device to obtain network slice usage information and event notifications. The event notification may indicate when an end device is using a network slice and when the end device is no longer the network slice. The network device may include an application function (AF) device. The network device may use the event notification to perform an operation relating to the network slice and/or the end device.

Abstract: A base station may include a processor configured to configure a default time period for periodic service requests for discontinuous reception (DRX) for user equipment (UE) devices serviced by the base station. The processor may be further configured to obtain a signal quality value for a UE device serviced by the base station; determine that the obtained signal quality value is less than a low signal quality threshold; and configure a longer time period for the periodic service requests for DRX for the UE device, in response to determining that the obtained signal quality value is less than the low signal quality threshold.

Abstract: Techniques for network usage analysis and forecasting are disclosed. In one embodiment, a computerized method is disclosed comprising obtaining network access data identifying network access of a plurality of users, obtaining user data for the plurality of users, analyzing the obtained network access data, the analyzing comprising determining a network usage pattern for each user, determining a plurality of feature sets corresponding to the plurality of users, a feature set determined for a respective user comprising network usage features and user features determined using the user data obtained for the respective user, determining a number of clusters formed using the plurality of feature sets, each cluster grouping a number of users, of the plurality of users, having similar feature sets, and communicating information about at least one cluster in response to a network analysis request.