Abstract: Processes and systems for identifying and removing non-functional Internet-of-Things (IoT) devices from a cellular network are discussed herein. In one example, a probability distribution function of a data profile transmitted by a type of IoT devices is generated. The probability distribution function may be chosen based on a known distribution such as a Gaussian, Bessel, or linear regressive model. The probability distribution function may be empirically generated by applying data received from IoT devices to a machine learning model using supervised or unsupervised learning. After generating the model representing the expected data profile of data received from a type or class IoT devices, data transmitted by the IoT devices may be applied to the model to determine whether the IoT devices are functional or non-functional. Non-functional IoT devices may be removed from the cellular network.

Abstract: This disclosure describes techniques that allow a coach-assist controller to provide coach support to a customer service representative (CSR) during an ongoing consumer-CSR interaction. The coach-assist controller may intercept a consumer-CSR interaction and generate corresponding interaction data. The coach-assist controller may further analyze the interaction data to infer a current state of the consumer-CSR interaction, and in doing so, determine whether to request coach support for the CSR.

Abstract: Various systems, methods, and devices relate to determining a delay associated with a device; calculating a guard time based at least in part on the delay; and scheduling a wireless resource to include a downlink interval, an uplink interval, and the guard time between the downlink interval and the uplink interval. By calculating the guard time based at least in part on the delay associated with the device, spectrum efficiency can be enhanced, and latency can be reduced.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting the transmission power of an unmanned aerial vehicle are disclosed. In one aspect, a method includes the actions of determining, by an unmanned aerial vehicle that includes a radio transceiver, an altitude of the unmanned aerial vehicle and a distance between the unmanned aerial vehicle and a base station. The actions further include, based on the altitude of the unmanned aerial vehicle and the distance between the unmanned aerial vehicle and the base station, determining, by an unmanned aerial vehicle, a transmission power level for the radio transceiver. The actions further include communicating, by the unmanned aerial vehicle, with the base station using the radio transceiver operating at the transmission power level.

Abstract: A carrier network may detect and prevent completion of SIM swap frauds. For example, a carrier network may, based at least in part on a SIM swap request to replace a first SIM associated with a subscriber with a second SIM, store first information associated with the first SIM. Subsequent to the execution of a SIM swap to replace the first SIM with the second SIM, the carrier network may perform fraud detection on the SIM swap based at least in part on the first information associated with the first SIM stored based at least in part on the SIM swap request and based at least in part on second information associated with the second SIM and based at least in part on the SIM swap being detected as fraudulent by the fraud detection, cause the second SIM to be prohibited from operating with respect to the subscriber.

Abstract: A service type symbol may be presented on a display of a communication device to indicate a type of service supported or unsupported on the communication device over a network to which the communication device is presently connected. The communication device may determine a value of a parameter, may determine, based at least in part on the value of the parameter, a service type symbol from a set of multiple different service type symbols to present on a display of the communication device, and may present the symbol on the display. Service type symbols might include, among others, a video symbol corresponding to a video streaming service, a voice symbol corresponding to a voice calling service, a basic data symbol corresponding to a basic data service.

Abstract: A method for cellular network outage detection including monitoring error rates associated with a network node of a cellular network for a first predetermined time period. The method includes determining a first baseline error rate for the network node based on the plurality of first error rates for the first predetermined time period, and determining a first threshold error rate for the network node based on the first baseline error rate for the network node. The method includes monitoring a plurality of second error rates associated with the network node for a time period subsequent the first predetermined time period, and detecting an excessive error rate of the plurality of second error rates associated with the network node, where the excessive error rate exceeding the first threshold error rate. The method includes, in response to detecting the excessive error rate, automatically executing a predetermined override rule.

Abstract: A system uses deep packet inspection and a services policy database to select policy control functions based on services associated with a packet data session rather than an access point name or data network name. As a packet data session is initiated, a system management function (SMF) determines a service associated with the session and routes a policy request to one of several policy control functions (PCF or PCRF) depending on the service. Policies specific to the service may be chosen and enforced at the selected PCF/PCRF.

Abstract: Introduced herein is a computer-implemented system for creating a digital twin of an electrical system using auto-discovery techniques. The system receives power data from meters in an electrical system. For each meter, the system captures a power profile related to a component connected to the meter and creates a set of delta data representing change in power over time. The system detects correlated changes by comparing the sets of delta data and generates a system dataset by combining the sets of delta data. The system detects echoes of power fluctuations of the electrical system from the system dataset. The system creates a digital twin of the electrical system, where the digital twin includes a one-line diagram representing connections between components in the electrical system.

Abstract: A method for vendor-agnostic processing of data for monitoring a real-time operational status of a telecommunications network includes routing cell site status indications from a broker node to an in-memory processing engine. The cell site status indications are based on parameter data. A first application of the in-memory processing engine generates unique identifiers that associate each cell site status indication to a particular cell site identification code and generate feedback for the broker node including modified cell site status indications including the unique identifiers. The broker node forwards the modified cell site status indications to a second application of the in-memory processing. The second application processes the modified broker messages to extract the second parameter data from the modified cell site status indications. The in-memory processing engine generates a dataset including the second parameter data associated with the unique identifiers by the in-memory processing engine.

Abstract: Systems, devices, and techniques described herein relate to interception of data traffic that is traversing a network at a relatively high throughput rate. In some examples, a request to initiate interception is received from a server. In response to receiving the request to initiate interception, an instruction to forward user plane data to the server can be transmitted to a User Plane Function (UPF). The UPF may be transferring the user plane data in a data flow. The instruction may cause the UPF to forward the user plane data to the server in multiple streams. In addition, control plane data associated with the data flow can be transmitted to the server.

Abstract: This disclosure describes techniques that enable a telecommunications network to share available bandwidth within a cell of base station node between different air-interface technologies, such as Long-Term Evolution (LTE) and 5G-New Radio (5G-NR). This disclosure further enables spectrum allocation to service segments of a base station node. A spectrum allocation controller is described that is configured to identify, within a service area of a base station node, available spectrum, and in doing so, allocate available spectrum to non-overlapping service segments.

Abstract: This disclosure describes systems, devices, and computer-implemented methods that facilitate the modification of network configuration data within a client network to improve a Quality of Experience (QoE) metric associated with the execution of a user application on a client device. More specifically, a diagnostic controller may retrieve diagnostic data associated with the execution of a user application on a client device, determine a QoE metric associated with the execution of the user application, and generate network configuration data for delivery to the client device that improves the QoE metric, based on the diagnostic data and the QoE metric.

Abstract: The present disclosure describes techniques that facilitate the encryption of data communications between a home and VPLMN, along with the verification of a content and origin of encrypted messages at each end of a data communication. In one non-limiting example, the process of verifying the content and origin of an encrypted message is facilitated partly by an exchange of network public keys between the HPLMN and VPLMNs. In another example, a network certificate aggregator (NCA) may act as a certificate authority (CA) by verifying the identities of interacting home and VPLMNs. The NCA may facilitate and exchange public keys between a home and VPLMN, whereby the HPLMN and VPLMNs need only trust and verify an identity of the NCA. Alternatively, the NCA may act as a conduit for data communications between the HPLMN and VPLMN.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: A client application can be configured to render user interface cards, based on card data provided by a remote card engine. An API Response as Card (ARC) engine can intercept a communication between the client application and the card engine, and determine that the communication is associated with another backend system. The ARC engine can request that the backend system perform an account action associated with a user account. The ARC engine can provide information derived from a response from the backend system, reflecting a result of the account action, to the card engine. The card action can generate card data associated with the result of the account action performed by the backend system, and the client application can use the card data to render and display a corresponding card, even if neither the client application nor the card engine are natively configured to interface with the backend system.

Abstract: Techniques are disclosed for implementing digital traffic data for analysis. In some examples, a telecommunications network determines an identity of a user associated with a user device that communicates with the telecommunications network. The telecommunications network identifies a physical location of the user device based on the user device communicating with a first transceiver of the telecommunications network. Then, the telecommunications network determines that the physical location of the user device corresponds to a first commercial location, and stores an indication that the user has visited the first commercial location.

Abstract: Systems and methods for categorizing received calls based on early call information are disclosed. Early call information can be audio, video, other sensor data, or other data collected via a calling device during call setup or any time before the call is routed to or accepted at a receiving device. A call and early call information associated with the call are received. A call characteristic, which can be a purpose or topic of the call, is identified using the early call information. Based on the call characteristic, the received call is categorized and a relative priority for the call is assigned. The call can be routed based on the early call information, and a suggested response to the call can be identified. In some implementations, a machine learning model is trained to categorize received calls based on early call information.

Abstract: A user equipment (UE), such as a mobile phone, may support multiple power classes. Power classes can define maximum output power levels for uplink transmissions. A base station of a radio access network (RAN) can, based on metrics reported by the UE, dynamically instruct the UE to switch to using a different power class. For example, the base station may instruct the UE to switch from using a first power class with a higher maximum output power to using a second power class with a lower maximum output power, in order to preserve battery life of the UE in situations in which the second power class provides sufficient output power for uplink transmissions to reach the base station.

Abstract: A method for selecting a user plane function when a user equipment (UE) attaches to a wireless communication network may include determining a data throughput limit associated with the UE, identifying a first user plane function having a first data throughput capacity, and identifying a second user plane function having a second data throughput capacity, wherein the first throughput capacity is higher than the second throughput capacity. The method may further include selecting the first user plane function if the data throughput limit of the UE is above a predetermined threshold, selecting the second user plane function if the data throughput limit of the UE is below the predetermined threshold, and sending a session request to the selected first or second user plane function.