Abstract: A method comprising training a predictive model system using historical data describing prior incidents that occurred in the communication network, wherein the historical data comprising prior incident data, prior subscriber usage data associated with the prior incidents, and prior performance data associated with the prior incidents, detecting an anomaly event based on current network parameters, wherein the anomaly event is an event or state occurring across one or more of network elements in the communication network that is indicative of a future incident that is likely to occur in the communication network, and instructing a remediation action to perform based on the anomaly event.

Abstract: A method for sequencing transactions is provided. The method includes receiving, at a sequencing queue module, a request for authorization to process a first transaction of a plurality of transactions associated with a subscriber identifier. The method includes accessing sequencing information associated with the subscriber identifier. The sequencing information comprises a plurality of timestamps of when a producer received each transaction of the plurality of transactions and a status of each transaction of the plurality of transactions. The method includes determining, based on the sequencing information, whether to authorize processing of the first transaction.

Abstract: A method is provided for dynamically provisioning devices and/or services. The method includes receiving, by a first transaction priority module, a first plurality of transactions. The method includes duplicating the first plurality of transactions at a second transaction priority module. The method includes sorting the first plurality of transactions into a plurality of topics, and each topic may be prioritized relative to each other based a plurality of priority rules. The method includes providing a first transaction of the first plurality of transactions to a first network provisioning engine (NPE) of a first plurality of NPEs that retrieves the first transaction.

Abstract: Various embodiments include a system that comprises machine learning circuitry in a communication network. The machine learning circuitry obtains a call log from a Charging Function (CHF) in the communication network that indicates a rating failure for a data session for a user device. The machine learning circuitry generates a feature vector that numerically represents the call log. The machine learning circuitry utilizes a machine learning algorithm to process the feature vector and generate a machine learning output that indicates the cause of the rating failure. The machine learning circuitry generates an alert that identifies the cause of the rating failure and transfers the alert to a controller in the communication network. The controller interfaces with the CHF to correct the cause of the rating failure based on the alert.

Abstract: A method for resolving errors during provisioning is provided. The method includes receiving, by a network provisioning engine (NPE), a first transaction from a transaction priority module. The first transaction is associated with a subscriber identifier. The method includes processing the first transaction by communicating with a network element of a plurality of network elements. The method comprises receiving an error from the network element and communicating the error to a reprovisioning module. The method includes receiving a reconcile message from the reprovisioning module and communicating the reconcile message to the network element. The method includes receiving an indication of success of the reconcile message from the network element.

Abstract: A computer-implemented method for mitigating leakage for a telecommunications service provider includes receiving real-time call detail records (CDRs) from an online charging system (OCS) for multiple wireless devices. The CDRs comprise information regarding telecommunication sessions, with a number of CDRs per time segment corresponding to a number of sessions. The method includes associating each CDR with a cluster using a network service product type, creating aggregated sub-clusters of CDRs, and predicting, by an artificial intelligence (AI) model using the aggregated sub-clusters and number of CDRs per time segment, whether the sub-clusters are associated with leakage. Responsive to predicting a particular sub-cluster is associated with leakage, the method performs an action to mitigate the leakage. The method further includes re-predicting whether the particular sub-cluster is associated with additional leakage and performing an additional action to mitigate the additional leakage if predicted.

Abstract: A method comprising training a predictive model system using historical data describing prior incidents that occurred in the communication network, wherein the historical data comprising prior incident data, prior subscriber usage data associated with the prior incidents, and prior performance data associated with the prior incidents, detecting an anomaly event based on current network parameters, wherein the anomaly event is an event or state occurring across one or more of network elements in the communication network that is indicative of a future incident that is likely to occur in the communication network, and instructing a remediation action to perform based on the anomaly event.

Abstract: An IP Multimedia Subsystem Service Control Point (IMS-SCP) module of a carrier network may provide trigger management for a request for a circuit switched (CS) call. For example, an IMS-SCP module may receive an request for a CS call associated with a user equipment. The IMS-SCP module may determine handling of the request for the CS call includes one or more first operations by a first feature platform and one or more second operations by a second feature platform. In response to the determining, the IMS-SCP module may perform trigger management associated with the request for the CS call. The trigger management may include invoking, by the IMS-SCP module, the one or more first operations of the first feature platform and, subsequent to the invoking the one or more first operations, invoking the one or more second operations of the second feature platform.

Abstract: The disclosed embodiments include a method for offline charging performed by an anchoring node of a telecommunications network. The anchoring node can send a request to an online charging system (OCS), where the request is for online metering of a call by a subscriber of the telecommunications network. The anchoring node may obtain an indication of an exception to the online metering of the call. In response, the anchoring node can perform a default call handling (DCH) procedure to allow the call on the telecommunications network despite an inability to perform the online metering. The anchoring node also generates a modified charging detail record (CDR) that includes an indication of the exception. The anchoring node can then send a message, which includes at least an indication of the modified CDR, to enable a mediation server to perform offline charging for the call.

Abstract: An IP Multimedia Subsystem Service Control Point (IMS-SCP) module of a carrier network may provide trigger management for a request for a circuit switched (CS) call. For example, an IMS-SCP module may receive an request for a CS call associated with a user equipment. The IMS-SCP module may determine handling of the request for the CS call includes one or more first operations by a first feature platform and one or more second operations by a second feature platform. In response to the determining, the IMS-SCP module may perform trigger management associated with the request for the CS call. The trigger management may include invoking, by the IMS-SCP module, the one or more first operations of the first feature platform and, subsequent to the invoking the one or more first operations, invoking the one or more second operations of the second feature platform.

Abstract: The disclosed embodiments include a method for offline charging performed by an anchoring node of a telecommunications network. The anchoring node can send a request to an online charging system (OCS), where the request is for online metering of a call by a subscriber of the telecommunications network. The anchoring node may obtain an indication of an exception to the online metering of the call. In response, the anchoring node can perform a default call handling (DCH) procedure to allow the call on the telecommunications network despite an inability to perform the online metering. The anchoring node also generates a modified charging detail record (CDR) that includes an indication of the exception. The anchoring node can then send a message, which includes at least an indication of the modified CDR, to enable a mediation server to perform offline charging for the call.

Abstract: The disclosed embodiments include a method for offline charging performed by an anchoring node of a telecommunications network. The anchoring node can send a request to an online charging system (OCS), where the request is for online metering of a call by a subscriber of the telecommunications network. The anchoring node may obtain an indication of an exception to the online metering of the call. In response, the anchoring node can perform a default call handling (DCH) procedure to allow the call on the telecommunications network despite an inability to perform the online metering. The anchoring node also generates a modified charging detail record (CDR) that includes an indication of the exception. The anchoring node can then send a message, which includes at least an indication of the modified CDR, to enable a mediation server to perform offline charging for the call.

Abstract: An IP Multimedia Subsystem Service Control Point (IMS-SCP) module of a carrier network may provide trigger management for a request for a circuit switched (CS) call. For example, an IMS-SCP module may receive an request for a CS call associated with a user equipment. The IMS-SCP module may determine handling of the request for the CS call includes one or more first operations by a first feature platform and one or more second operations by a second feature platform. In response to the determining, the IMS-SCP module may perform trigger management associated with the request for the CS call. The trigger management may include invoking, by the IMS-SCP module, the one or more first operations of the first feature platform and, subsequent to the invoking the one or more first operations, invoking the one or more second operations of the second feature platform.

Abstract: A monitoring application and method in a disabled telecommunication device for monitoring communication sessions initiated by the device and detecting an emergency communication session that is initiated by the device. If an emergency communication session is detected, the monitoring application generates and transmits a message to a rating engine over a non-voice channel. The non-voice channel may be an unstructured supplementary service data (USSD) channel, a short message service (SMS) channel, or other like messaging channel. When the message is received via the non-voice channel, various callback techniques may be implemented to allow the disabled device to receive communications after the emergency communication session, even though such communications would normally be prevented as a result of a service lock.