Abstract: In some implementations, an internet protocol multimedia subsystem (IMS) may receive a device identity of the user device as part of an emergency call. The IMS may transmit the device identity to an emergency call server (ECS). The IMS may receive, from the ECS, a subscriber identity of the user device. The IMS may transmit the subscriber identity to a public safety answering point (PSAP) through a next generation core services (NGCS) network that uses a Stir and Shaken protocol. The emergency call is then established with a true subscriber identity of the user device.

Abstract: A method may include establishing, by a first service provider and via an application programming interface (API), an agreement with a second entity. The agreement may identify services that can be modified without submission of a new order. The method may also include receiving a first message requesting a change associated with a service and determining, by the first service provider, whether the requested change corresponds to a change that is permitted based on the agreement and whether resources are available in the first network to implement the requested change. The method may further include determining whether the requested change is accepted, sending a second message to the second entity that indicates whether the change is accepted and in response to determining that the change is accepted, automatically implementing the change to the service in the first network.

Abstract: A system described herein may maintain a local copy of a distributed ledger, including a first set of records that each include payload information. The system may maintain a restricted access ledger based on the distributed ledger, including a second set of records that include modified payload information included in the first set of records of the distributed ledger. The system may receive a request to access the distributed ledger, including one or more attributes, and may determine, based on the one or more attributes of the request, whether to grant access to the distributed ledger or to the restricted access ledger. When determining to grant access to the distributed ledger, the system may provide payload information from the distributed ledger in response to the request, and when determining to grant restricted access to the restricted access ledger, the system may provide payload information from the restricted access ledger.

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 device computes cell boundaries for each cell and computes a cumulative overlap feature within the geographic area of interest for each cell of the group of cells during a future time period. The device determines updated cell boundaries that correspond to a reduced energy consumption needed to meet service requirements during the future time period.

Abstract: A first key management entity (KME) in a mobile edge network engages in quantum key distribution (QKD) with a second KME in a far network to generate a secret cryptographic key that is shared between the first KME and the second KME. The first KME determines a key identifier (ID) for associating with the cryptographic key, and sends the key ID to the second KME for association with the secret cryptographic key at the second KME. The first KME receives a session request from a first session endpoint for a session across at least one of the mobile edge network or the far network. The first KME sends the key ID and the cryptographic key to the first session endpoint for establishing an encrypted session across the at least one of the mobile edge network or the far network.

Abstract: In some implementations, a policy control function (PCF) device may receive a PCF device key uniquely associated with a user equipment (UE). The PCF device may generate an integrity key and an encryption key based on the PCF device key and an identifier of the PCF device. The PCF device may generate, based on the integrity key, integrity data associated with policy information related to the UE. The PCF device may encrypt, based on the encryption key, the policy information to generate encrypted policy information. The PCF device may send, for the UE, a UE policy message indicating the integrity data, the encrypted policy information, and the identifier of the PCF device.

Abstract: A method, a device, and a non-transitory storage medium are described in which an inter-operator mobility service is provided. The service may provide provisioning decisions and configurations that may include core devices that are shared between users of a first entity and users of a second entity, or are dedicated to the users of the second entity to support a network slice and/or access to an application service for end devices associated with the second entity. The service may manage access and use of radio frequencies associated with the first and second entities based on subscription information and location of the end devices associated with first and second entities. The service may further include enabling inter-network handovers associated with end devices associated with end devices associated with the second entity.

Abstract: A system described herein may train an explanation model based on a set of images and a set of explanation labels. The system may receive input data, and may provide the input data to the explanation model and a second model. The second model may provide a set of output labels, which may include performing unknown or “black box” processing on the input data. The explanation model may generate one or more images based on the input data, compare the images to the set of images based on which the explanation model was trained, and accordingly identify one or more explanation labels with bounding boxes associated with the generated one or more images. The system may output, in response to the input data, the set of output labels provided by the second model as well as the identified explanation labels.

Abstract: A system described herein may monitor, on an ongoing basis, a Key Performance Indicators (“KPIs”) associated with a wireless network. The system may receive, from a particular device, a monitoring policy specifying one or more criteria, and may compare the criteria associated with the monitoring policy to the monitored KPIs. The system may determine, based on the comparing, that the criteria associated with the monitoring policy is satisfied; may determine a particular subset of the monitored KPIs based on the monitoring policy and further based on determining that the criteria associated with the monitoring policy is satisfied; and may output the particular subset of the monitored KPIs to the second device. The system may monitor the wireless network via private interfaces that are not exposed to devices external to the wireless network.

Abstract: A system described herein may identify sets of seed parameters that are each associated with a respective User Equipment (“UE”) of a group of UEs. The system may generate, based on the seed parameters for each UE, a respective set of UE usage metrics for each UE, and may generate a set of aggregate UE usage metrics based on the generated sets of UE usage metrics. The system may compare the aggregate UE usage metrics to a measure of network capacity; determine an amount of time that a measure of UE usage exceeds the measure of network capacity; determine that the amount of time, that the measure of UE usage exceeds the measure of network capacity, exceeds a threshold amount of time; and modify network configuration parameters based on determining that the amount of time, that UE usage exceeds the network capacity, exceeds the threshold amount of time.

Abstract: In some implementations, a user equipment (UE) may receive, from a network node, a UE route selection policy (URSP) that includes one or more URSP rules, wherein a URSP rule, of the one or more URSP rules, indicates one or more of: a radio access technology (RAT) associated with the URSP rule, or one or more public land mobile networks (PLMNs) associated with the URSP rule. The UE may select the URSP rule. The UE may perform traffic routing based on the URSP rule.

Abstract: The present teaching relates to compressing a model for an application to generate a compressed model. The model has multiple layers, each of which has multiple nodes. Operating the model utilizing an application-dependent dataset, redundant nodes/layers in the model are identified via a loss-based assessment. The loss-based assessment using aggregated output vectors computed based on output vectors produced by the nodes/layers of the model in response to the data samples of the application-dependent dataset. Removing the redundant nodes/layers yields the compressed model.

Abstract: In some implementations, a mobility management entity (MME) device may receive an attach request, associated with a user equipment (UE), that includes a UE state indication. The MME device may send, to an access and mobility function (AMF) device, a UE route selection policy (URSP) information request associated with the UE based on the UE state indication. The MME device may receive, from the AMF device, a URSP information response indicating URSP information associated with the UE based on the URSP information request. The MME may send, for the UE, the URSP information based on the UE state indication included in the attach request.

Abstract: A network device may provide a network function discovery request to a network repository function (NRF), and may receive, from the NRF, a network function discovery response that identifies a unified data management (UDM) component based on the network function discovery request. The network device may provide, to the UDM component, a request for a network function registration associated with a user equipment (UE), and may receive, from the UDM component, the network function registration associated with the UE based on the request for the network function registration. The network device may subscribe to user plane function (UPF) events associated with the UE from a UPF, and may receive, from the UPF, an indication of a subscription to the UPF events associated with the UE.

Abstract: In some implementations, a distributed unit (DU) associated with a network node may determine a rate variation associated with one or more of a quality of service (QOS) flow or a network slice. The DU may perform a scheduling for a user equipment (UE) based on the rate variation, wherein the scheduling is associated with an adjusted data rate based on the rate variation.

Abstract: A device may receive sensitive attribute data, model prediction data, and true target data associated with a regression machine learning model, and may determine quantities of Gaussian components for Gaussian mixtures. The device may generate Gaussian mixtures of the quantities of Gaussian components based on the sensitive attribute data, the model prediction data, and the true target data, and may determine parameters of estimates of conditional densities by the Gaussian mixtures based on the sensitive attribute data, the model prediction data, and the true target data. The device may calculate an independence measure, a separation measure, and a sufficiency measure of the regression machine learning model based on the Gaussian mixtures and the parameters of the estimates of the conditional densities. The device may perform actions based on one or more of the independence measure, the separation measure, or the sufficiency measure.

Abstract: A network device may receive an indication that a radio access network fails to support a network slice target service level agreement for a user equipment associated with a network slice. The network device may provide, to the radio access network, a network slice identifier associated with the network slice target service level agreement not supported by the radio access network. The network device may provide, to the radio access network, an indication of whether a neighbor radio access network supports the network slice target service level agreement to cause the radio access network to redirect the user equipment to a neighbor radio access network or to move the user equipment to another network slice.

Abstract: A device may include a processor configured to obtain a quantum key generated using quantum random numbers received from a quantum random number generator. The processor may be further configured to obtain a digital signature for a uniform resource locator (URL) associated with the obtained quantum key, wherein the digital signature is received from a security device configured to provide the quantum key to a user equipment (UE) device; receive a request from an application server to function as a proxy for a secure session with the UE device; authenticate the secure session with the UE device using the quantum key and the digital signature; and proxy the secure session between the UE device and the application server.

Abstract: Techniques for intelligent application source code testing prioritization are disclosed. In one embodiment, a method is disclosed comprising obtaining execution history information associated with a number of test cases and source code change history information, generating a plurality of encodings for a number of test cases, each test case encoding comprising a merger of a test case description and source code change history information corresponding to a test case, determining a failure propensity score for each test case using a trained failure prediction model and the test case's encoding, determining a prioritization of the test cases in accordance with the failure propensity scores, such that a test case having a greater failure propensity score indicating a greater propensity to fail having a higher priority than another test case with a lower propensity to fail, and generating a testing schedule for the plurality of test cases in accordance with the test case prioritization.

Abstract: A video summary device may generate a textual summary of a transcription of a virtual event. The video summary device may generate a phonemic transcription of the textual summary and generate a text embedding based on the phonemic transcription. The video summary device may generate an audio embedding based on a target voice. The video summary device may generate an audio output of the phonemic transcription uttered by the target voice. The audio output may be generated based on the text embedding and the audio embedding. The video summary device may generate an image embedding based on video data of a target user. The image embedding may include information regarding images of facial movements of the target user. The video summary device may generate a video output of different facial movements of the target user uttering the phonemic transcription, based on the text embedding and the image embedding.