A system, method, and computer program product are provided for managing a shared quota for a plurality of network subscribers in a consumer telecommunications network. In use, a first usage quota reservation out of a shared quota is allocated to at least one first subscriber among a plurality of network subscribers. Further, it is determined that at least a portion of the shared quota is available. Additionally, a progressively smaller at least one second usage quota reservation out of the at least a portion of the shared quota is recursively allocated to the at least one first subscriber among the plurality of network subscribers, the smaller at least one second usage quota reservation being smaller than the first usage quota reservation out of the shared quota.

Methods, a policy node and a charging node for enabling spending limit control for a user equipment in a telecommunication network. The policy node obtains an identifier related to the user equipment, an identifier of a policy counter and a set of policy counter statuses to be monitored by the policy node. The set of policy counter statuses are related to the identifier of the policy counter. The policy node sends, a request for reporting of policy counter statuses related to the user equipment for the policy counter. The request includes the identifier related to the user equipment, the identifier of the policy counter and the set of policy counter statuses. A policy counter status of the set of policy counter statuses is determined. The policy counter status has changed as determined by the charging node. A response to the request is sent and includes the policy counter status that has changed.

Systems and methods described herein include receiving, at a network device, a message including an identifier associated with a subscriber and an identifier associated with a rating group associated with one or more data flows and determining a data quota and one or more usage monitoring thresholds associated with the subscriber. The data quota indicates a first amount of data associated with the rating group that the subscriber is authorized to use during a time period and the one or more usage monitoring thresholds indicate one or more second amounts of data associated with the rating group and one or more service flows that the subscriber is authorized to use during the time period. The network device transmits the data quota and the one or more usage monitoring thresholds, receives data usage information, and processes the data usage information.

An architecture to allow Multi-Access Edge Computing (MEC) billing and charge tracking, is disclosed. In an example, a tracking process, such as is performed by an edge computing apparatus, includes: receiving a computational processing request for a service operated with computing resources of the edge computing apparatus from a connected edge device within the first access network, wherein the computational processing request includes an identification of the connected edge device; identifying a processing device, within the first access network, for performing the computational processing request; and storing the identification of the connected edge device, a processing device identification, and data describing the computational processes completed by the processing device in association with the computational processing request.

A method of supporting Adaptive Bit Rate, ABR, video resolution shaping of a video data stream of a video session transferred by a User Plane Function, UPF, in a Service Based Architecture, SBA, domain. The video resolution shaping is performed by the UPF implementing a Reinforcement Learning Agent, RLA, operating with an observation space having a determined video resolution of a received video data stream, a reward space having a reward referring to a required video resolution, and an action space having video resolution shaping levels to be applied at the received video data stream. Complementary methods and devices for performing such a method in an SBA domain deployed in a telecommunications system are disclosed.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

A method for managing mobile payments in a mobile phone. The method includes receiving data associated with a plurality of issuer specific payment services at a mobile phone, selecting one of the issuer specific payment services, and conducting a transaction using the phone.

Computer-implemented method for online charging telecommunication services in real time, comprising: (i) running a money-to-time algorithm, computing a time balance based on charging parameters and a wallet balance; (ii) if greater than zero, creating a charging data record, CDR, and writing a start timestamp therein, setting a terminate session timer based on the time balance, and confirming the communication session; (iii) if not greater than zero, or upon expiration of the terminate session timer, instructing to terminate the communication session, wherein upon expiration of the terminate session timer an end timestamp is written in the CDR. Online charging system, OCS, implementing the method.

An architecture to allow Multi-Access Edge Computing (MEC) billing and charge tracking, is disclosed. In an example, a tracking process, such as is performed by an edge computing apparatus, includes: receiving a computational processing request for a service operated with computing resources of the edge computing apparatus from a connected edge device within the first access network, wherein the computational processing request includes an identification of the connected edge device; identifying a processing device, within the first access network, for performing the computational processing request; and storing the identification of the connected edge device, a processing device identification, and data describing the computational processes completed by the processing device in association with the computational processing request.

Systems and methods may provide for establishing a data usage budget based on one or more of user input and historical usage data, wherein the data usage budget distinguishes between usage types and distinguishes between connection types. Additionally, a data usage of one or more client devices may be monitored in accordance with the data usage budget. In one example, the usage types are designated as one or more of a high bandwidth usage and a low bandwidth usage, and the connection types are designated as one or more of a capped connection and a nan-capped connection.