A cellular traffic monitoring system includes: a Traffic Detection Function (TDF) module to monitor cellular traffic associated with a cellular subscriber device, and to generate application detection output indicative of an application used by the cellular subscriber device; an application-based charging module to generate, based on the application detection output of said TDF module, application-based charging data related to said cellular subscriber device; a Policy Charging and Enforcement Function (PCEF) module to enforce one or more charging rules that are Service Data Flow (SDF) based and are related to said cellular subscriber device; an SDF-based charging module to generate SDF-based charging data related to said cellular subscriber device; and a charging correlator module to identify a potential over-charging due to an overlap between the application-based charging data and the SDF-based charging data.

A system, smart device and method for apportioning costs of smart device operations between purposes. Operation information concerning operations performed by the smart device is recorded. The operations are apportioned between purposes based on categorization information and the operation information. The cost of the apportioned operations performed by the device is determined for the purposes based on the operation information and tariff information.

A vehicle and method of platooning control therefor are provided to achieve optimum communication charge efficiency while a plurality of vehicles perform platooning. A data communication method of a platooning vehicle includes starting platooning by a plurality of vehicles and sharing data charge rate information through a first protocol for vehicle-to-vehicle communication (V2V) by the plurality of vehicles. A first master vehicle and at least one slave vehicle are determined based on the shared data charge rate information. An access point (AP) is then activated according to a second protocol for short distance communication by the first master vehicle and an AP of the master vehicle is accessed and data communication is performed by the at least one slave vehicle.

The present disclosure provides a charging control method, a charging trigger apparatus, and an online charging system. The method includes: generating, by a CTF, a resource quota request according to a trigger condition; and sending the resource quota request to an online charging system (OCS), so that the OCS determines a quota type and number after receiving the resource quota request, and allocates a quota for the resource quota request according to the quota type and number determined by the OCS, where the quota type and number are determined by the OCS according to the resource quota request. In the foregoing method, a problem that in the prior art, a charging control error occurs due to different determining bodies of a quota type is solved.

Embodiments of the present invention provide a service allocation method and apparatus. The method includes: firstly, generating, by a core network side device, a first dedicated network identifier according to an association relationship sent by user equipment UE, where the first dedicated network identifier is used to identify the association relationship; secondly, sending, by the core network side device, the first dedicated network identifier to the UE; receiving, by the core network side device, a service request message sent by the UE; and finally, allocating a service to the UE according to the service request message and the first dedicated network identifier. Because each wireless router has a unique first dedicated network identifier, the core network side device can provide, according to the first dedicated network identifier, a targeted service or tariff policy for UE corresponding to each wireless router.

Embodiments of the present disclosure relate to methods, devices and computer-readable media for dynamic resource authorization in a communication network. According to embodiments of the present disclosure, a device in a vendor network dynamically transmits a request to a network device in the vendor network according to a resource usage state in an operator network. In addition, the vendor and an operator negotiate on charging, so that resource requests and allocation are more reasonable, and the resource usage rate is improved. Furthermore, according to embodiments of the present disclosure, the operator further negotiates with a user on charging, so that the user is able to request and utilize a resource in a better manner.

A mobile computing device that supports cost-aware application components for operation over a metered network. A current basis for computing usage charges over one or more networks may be made available to the cost-aware application components through an application programming interface supported by an operating system service. That service may receive a policy for charging for data usage over a network and may also obtain information defining data usage for the mobile computing device. Based on this information, the service may determine a current basis for charging for data usage. With this information, the application component can determine a manner for executing network operations that involve data transmission over the network, such as deferring the operation or selecting an alternative network.

Embodiments of the present disclosure provide a method and apparatus for automatically selecting a network according to a tariff, a server, and a terminal. The method includes obtaining at least one available network access mode of a terminal; obtaining traffic tariff information of a user of the terminal; obtaining predicted Internet access duration and predicted Internet access traffic that are of the user of the terminal; and determining a network selection policy of the terminal according to the at least one available network access mode, the traffic tariff information of the user of the terminal, and the predicted Internet access duration and the predicted Internet access traffic that are of the user of the terminal. According to the method, the apparatus, the server, and the terminal in the embodiments of the present disclosure, Internet access costs of the user can be effectively controlled, and user experience can be improved.

A tariff data determining method and apparatus are disclosed. The method includes: obtaining a call detail record set, wherein each call detail record includes a charging condition, a charging unit and a fee deduction that are under the charging condition; grouping a plurality of call detail records to obtain a call detail record group, wherein a same value corresponding to a charging unit in the call detail record group has a correspondence with a unique fee value corresponding to a fee deduction; analyzing the call detail record group to obtain a data feature; selecting a target tariff model corresponding to the data feature; determining a parameter value corresponding to each tariff parameter in the target tariff model; and determining tariff data based on the parameter value, the target tariff model, and the charging condition.

A network load traffic management component is communicatively coupled to a radio access network (RAN). The network load traffic management component includes a subscriber scoring module and a subscriber scoring database that operates on a server processor and a server memory. The network load traffic management component identifies at least one network event corresponding to a RAN control plane. The network load traffic management component monitors each network event for a session time, in which each session time is associated with each subscriber interacting with the RAN. The network load traffic management component, repeatedly, determines a performance measurement for each network event associated with each session time. The performance measurement for each network event is recorded. A subscriber score is generated based on the performance measurements for each network event. A predictive indicator score is generated based on subscriber scores and behavioral analytics associated with each subscriber.