A method for location-dependent billing for a services that are available to a mobile terminal, a local communication connection is set up to a fixably installed external location tag with a corresponding wireless interface between the fixably installed tag and the mobile terminal, the method including the steps of accessing the external location tag and transmitting a billing rate code from the external location tag to the mobile terminal, forwarding the billing rate code from the mobile terminal to a central unit of a mobile communication network, in which the mobile terminal is logged, determining a geographic location identification of the external location tag by evaluation of the billing rate code at the central unit, and selecting a billing rate for billing for the service available to the user based on the billing rate code at the central unit.

Device assisted CDR creation, aggregation, mediation and billing is provided. In some embodiments, device assisted CDR creation, aggregation, mediation and billing for a wireless network includes collecting device generated service usage information for one or more devices in wireless communication on the wireless network; and providing the device generated service usage information in a syntax (e.g., a device assisted charging data record (CDR)) and a communication protocol (e.g., 3GPP, 3GPP2, or other communication protocols) that can be used by other network devices to augment or replace network generated service usage information for the one or more devices in wireless communication on the wireless network.

An exposure node (50) receives a first request for resource management for future background data transfer between an application service provider and a plurality of radio terminals (10) from a server (60) associated with the application service provider and send a second request to a policy control node (40) in response to receiving the first request. The first request includes a parameter indicating whether background data transfer not complying with a previously agreed or negotiated transfer policy should be stopped, or whether the background data transfer should continue under a charging rule different from a previously agreed charging rule. The second request includes the parameter obtained from the first request. This enables the application service provider to negotiate with the radio communication network about handling of background data transfer not complying with a previously agreed transfer policy.

Embodiments of this application provide a method, an apparatus, and a system for reporting data usage, so that for a PDU session into which a UL CL user plane network element or a BP user plane network element is inserted, statistics can be accurately collected on data usage. The method includes: An aggregate user plane network element determines discarded data usage of the aggregate user plane network element, and sends the discarded data usage to a session management network element. The first session management network element receives the discarded data usage, and receives transport data usage of one or a plurality of anchor user plane network elements, which are anchor user plane network elements connected to the aggregate user plane network element. The first session management network element determines actual data usage of a terminal device based on the discarded data usage and the transport data usage.

A real-time network consumption tracking service is provided. A charging function (CHF) device receives transaction records of network consumption by user equipment (UE) devices in a wireless network and generates individual event messages based on each of the transaction records. Each of the individual event messages includes a detailed record based on one of the transaction records. The CHF device associates each of the individual event messages with a message bus topic, formats each of the individual event messages for publication on the message bus, and publishes each of the formatted individual event messages to the message bus. The message bus is accessible to external systems that generate dynamic network consumption data sets based on the formatted individual event messages.

Systems and methods include obtaining monitored traffic from an S1 interface; detecting a Secondary Radio Access Technology (RAT) Data Usage Report (DUR) in the monitored traffic; determining whether the Secondary RAT DUR relates to a 5G Non-Standard Architecture (NSA), and, if so, determining an address of a gNodeB in the Secondary RAT DUR; and storing the address of the gNodeB in a database. The systems and methods can include, for a call, updating a Call Detail Record (CDR) to reflect one of 5G NSA and 4G based on whether an address in the CDR is in the database.

The present disclosure relates to a method for managing a charging operation in a communication network. The present disclosure also relates to a controller and to a computer program and a computer program product configured, when run on a computer to carry out a method for managing a charging operation in a communication network. Examples provide a method of managing a charging operation in a communications network, the method including: determining a low balance condition of a user of the network during a network service provided to the user by the network; determining a prioritized provider and transferring a credit to the user from the prioritized provider to the user in order to continue the network service; wherein the prioritized provider is determined from a plurality of providers based on respective connectivity parameters between the user and each provider and a respective credit parameter of each provider.

Methods, a system for managing traffic transmitted by a User Equipment (UE), a UE for enabling differentiation of the traffic, a Packet Gate-Way User plane (PGW-U) for managing the traffic as well as a Mobility Management Entity (MME) for enabling differentiation of the traffic are disclosed. The PGW-U (120) receives (9) a marking type and a marking value, which originate from the SCS/AS (170) and which are associated with an application identifier for identifying application traffic to be handled according to the marking type and the marking value. The UE (110) receives (14), from the MME (130), the marking type and the marking value. The UE (110) transmits (17), towards the PGW-U (120), application traffic marked according to the marking type and marking value. The PGW-U (120) inspects (18) the traffic according to the marking type to obtain the marking value. The PGW-U (120) handles (18) the traffic based on the marking value. Corresponding computer programs and computer program carriers are also disclosed.

A system, method, and computer program are provided for processing a billing item. In use, a first dataset is collected including a plurality of records. The first dataset includes customer records, billing records (with billing item(s)) for each of the customers, and call incident records (with calling customer identification, billing record identification, and billing item identification). Additionally, a first AI-model is trained using the first dataset to recognize at least one pair of a first customer type and a first billing item type, and an associated first probability that such pair results in a call to the call-center. Further, a second dataset is collected including new billing records. The first AI-model is used to detect at least one billing record in the second dataset having probability higher than a redefined threshold probability that the customer associated with the billing record will call a call-center.

Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.