H04M15/853

MULTI-ACCESS EDGE COMPUTING (MEC) BILLING AND CHARGING TRACKING ENHANCEMENTS

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.

Budgeting and quota management system for data consumption
11363423 · 2022-06-14 · ·

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.

Call processing system for modifying inmate communication limits
11349998 · 2022-05-31 · ·

A system for customizing time limits for inmate communications in a correctional facility is disclosed. The system includes a profile subsystem that stores an inmate profile of the inmate and a communication processing subsystem comprising one or more processors configured to receive data of an inmate communication of an inmate, identify a type of communication device of the inmate and a call recipient of the inmate communication based on the data of the inmate communication, retrieve the inmate profile of the inmate form the profile subsystem, identify a plurality of behaviors of the inmate based on the inmate profile, determine a time limit based on at least one of the type of communication device, the call recipient of the inmate communication, and the plurality of behaviors of the inmate, and assign the time limit to the inmate communication of the inmate.

Offline charging of communications services
11349996 · 2022-05-31 · ·

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.

Method and device for data rate control in network slice in wireless communication system

The disclosure relates to a method and a device for controlling a data rate in a network slice of a wireless communication system. A method for controlling a bit rate of a network slice by a session management function (SMF) device of a wireless communication system is provided. The method includes receiving a slice control policy information from a policy and charging function (PCF) device, transmitting, to a user plane function (UPF) device, a parameter for controlling each slice based on the received slice control information, and receiving, from the UPF device, a response signal for whether the transmitted parameter is acceptable.

Achieving seamless service during unreachability of charging function entity

In one example, a session management function entity is configured to obtain an indication of a backup resource usage quota associated with a rating group of a user session for a user equipment configured to communicate via a mobile core network. The rating group is subject to online charging. The session management function entity determines that a charging function entity configured to provide an indication of a primary resource usage quota associated with the rating group is unreachable. In response to determining that the charging function entity is unreachable, the session management function entity allocates the backup resource usage quota associated with the rating group while the charging function entity is unreachable.

System, method, and computer program for using artificial intelligence for online charging
11736306 · 2023-08-22 · ·

As described herein, a system, method, and computer program are provided for using artificial intelligence for online charging. A request for use of a network service by an entity is identified. Account allowances/balances to which the requested use of the network service can be charged are determined. Insights generated by an artificial intelligence system are accessed, where the insights predict future use of the network service (e.g. that will be charged to each account allowance/balance). A quota size to be requested in association with a select account allowance/balance is determined, based on the request for the use of the network service and the insights. A reservation request to reserve the quota size from the select account allowance/balance is generated. The use of the network service is authorized, when the quota size is reserved from the select account allowance/balance for the use of the network service.

Methods of and devices for adaptive bit rate, ABR, video resolution shaping of a video stream in a telecommunications system

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.

MANAGING DATA TRANSFERS OVER NETWORK CONNECTIONS BASED ON PRIORITY AND A DATA USAGE PLAN

Embodiments manage use of different network connections for data transfer in view of priority information and a data usage plan identifying threshold limits associated with the different network connections. A computing device receives data transfer requests from applications executing on the computing device. The data transfer requests have priority information associated therewith. The computing device compares the priority information with available network connections. One or more of the data transfer requests are selected for initiation based on the comparison and on the threshold limits.

CORE NETWORK FOR MOBILE COMMUNICATION SYSTEM
20220141913 · 2022-05-05 ·

A core network for mobile communication system is provided. The core network includes a first network function (NF) element, a second NF element, and an operations, administration and maintenance (OAM) element. The OAM element periodically transmits a resource quota status message to the second NF element to obtain a count number of the resource of first NF element and a limit value of the count number via the second NF element, and adjusts the limit value of the resource of the first NF element according to the count number and the limit value of the resource of the first NF element.