H04M15/70

METHOD TO DYNAMICALLY SELECT A MOBILE OPERATOR SUBSCRIPTION BASED ON THE TERMINAL LOCATION, ON THE RECEIVED SIGNAL STRENGTHS AND ON BUSINESS AGREEMENTS, CORRESPONDING SECURE ELEMENT AND HOME SUBSCRIBER SERVER

Provided is a method for dynamically selecting a mobile subscription for a secure element cooperating with a terminal in a telecommunication system comprising a network visited by the terminal and a HSS of a server The method includes sending from the secure element a random e-IMSI ephemeral IMSI in a first attachment request message to the HSS through the visited network, the visited network having the best received signal and having a roaming agreement with an e-IMSI service provider; and transmitting 101 from the HSS to the secure element in a signaling message a PLMN list of all the local operators having a commercial agreement with the e-IMSI service provider.

Service design center for device assisted services

A technique involves modular storage of network service plan components and provisioning of same. A subset of the capabilities of a service design system can be granted to a sandbox system to enable customization of service plan offerings or other controls.

Dynamic provisioning reconciliation of network elements in wireless communication networks
11696185 · 2023-07-04 · ·

Systems and methods discussed herein are directed to a reconcile decision engine in communication with a network provisioning catalog. The network provisioning catalog may provide network elements of the wireless communication network related to the user service attributes, e.g., network elements that implement various aspects of the user service attributes to provide services to users in accordance with service plans (also referred to as rate plans). The network provisioning catalog also provides required network service attributes for each network element, where the required network service attributes are related to the user service attributes. The reconcile decision engine may query various network elements to reconcile the various network elements with respect to user information, e.g., the user's billing profile. The reconcile decision engine may reconcile the user profile with respect to one or more of the network elements that need reconciliation.

MOBILE DEVICE ROAMING OPTIMIZATION AND OPERATION

A method, system, and computer program product for implementing mobile device roaming optimization is provided. The method includes receiving a selection for services associated with a first mobile device provider for activation during travel to a location associated with mobile device roaming attributes with respect to a mobile device of a user. A blockchain structure and a hash masking sensitive data of the user are generated. It is detected that the user and mobile device have traveled to the location and access to the blockchain structure is enabled. Roaming usage attributes of the mobile device are determined. Subsequently, operational functionality of the mobile device at the geographical location is enabled via roaming usage of a network of the second mobile device provider and second hash of consumption related information compliant with data residency is transmitted to the first mobile device provider to facilitate resolution of disputes across entities.

DYNAMIC EMBEDDED-SIM CONFIGURATION

Embodiments of the present invention provide computer-implemented methods, computer program products, and computer systems. Embodiments of the present invention can dynamically determine an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices connected to a network. Embodiments of the present invention can then dynamically change a data plan associated with the eSIM of respective edge devices connected to the network such that activity can be executed with required quality by the respective edge devices based on contextual need of data processing, volume of data transfer, and speed of data transfer among the respective edge devices.

CHARGING FUNCTION FALLBACK

Systems, methods, and devices can be utilized to provide charging function (CHF) fallback in a 5.sup.th Generation Core (5GC). An example method is performed by a fail-open function (FOF), and includes receiving, from the CHF, information corresponding to a subscriber of a network. The information is stored in a database. Further, the example method includes receiving, from the CHF or a connected function, a request corresponding to the subscriber. The connected function is a session management function (SMF) and/or a policy control function (PCF). Based on the request, the information stored in the database is at least one of accessed or modified. Based on performing at least one of accessing or modifying the information stored in the database, a response is generated and transmitted to the CHF or the connected function.

Communications method and apparatus
11510257 · 2022-11-22 · ·

A communications method and apparatus, the method including receiving, by a policy control network element, from a first session management network element, a policy request message, sending, by the policy control network element, to the first session management network element, according to the policy request message, policy information, where the policy information comprises a data network access identifier (DNAI), and establishing, by the first session management network element, according to the DNAI, a first user plane network element for a first protocol data unit (PDU) session for a terminal device.

MULTI-SERVICES APPLICATION GATEWAY AND SYSTEM EMPLOYING THE SAME

An intelligent gateway device provided at a premise (home or business) for providing and managing application services associated with use and support of a plurality of digital endpoint devices associated with the premises. The device includes a communications and processing infrastructure integrated with a peer and presence messaging based communications protocol for enabling communications between the device and an external support network and between the device and connected digital endpoint devices. A services framework at the gateway device implements the communications and processing infrastructure for enabling service management, service configuration, and authentication of user of services at the intelligent gateway. The framework provides a storage and execution environment for supporting and executing received service logic modules relating to use, management, and support of the digital endpoint devices. Thus, the gateway device provides a network-based services point of presence for a plurality of digital endpoint devices at the premises.

Telecommunication network analytics platform

Methods, computer-readable media and devices are disclosed for selecting a plurality of network devices to perform a plurality of tasks in accordance with a set of functional network analytics instructions. For example, a processor deployed in a telecommunication network may receive a set of functional network analytics instructions compiled from a set of instructions in accordance with a functional network analytics platform application programming interface. The processor may further, in accordance with the set of functional network analytics instructions, select a plurality of network devices to perform a plurality of tasks, send the plurality of tasks to the plurality of network devices, receive control plane data from the plurality of network devices, correlate the control plane data in accordance with operations defined in the set of functional network analytics instructions to create resulting data, and forward the resulting data to at least one recipient device.

Machine learning system, method, and computer program for making payment related customer predictions using remotely sourced data

As described herein, a machine learning system, method, and computer program are provided for making payment related customer predictions using remotely sourced data. A system of a communication service provider (CSP) identifies a customer of the CSP. Additionally, the system collects data from a plurality of data sources independent from the CSP, the data including telephone numbers and/or webpage URLs of other services providers that are associated with making payments. Further, the system processes the collected data to form input data indicating which of the telephone numbers were contacted by the customer and/or webpage URLs were accessed by the customer. Still yet, the system processes the input data using at least one machine learning algorithm to make at least one payment related prediction for the customer. Moreover, the system outputs the at least one payment related prediction made for the customer.