AI-Powered Smart SIM Dynamic Tariff and Application Optimization System and Method

Abstract

The invention relates to a system and method that enables the processing of user contextual data by an artificial intelligence decision engine running on SIM or eSIM in mobile communication systems, and the determination of a suitable tariff plan and network usage policy for the user. It involves generating tariff and profile decisions at the SIM level by evaluating contextual data such as geographical location, time, application usage intensity, and network conditions collected on a smart SIM hardware platform, together with past usage habits, application behavior, energy consumption profile, and performance results; implementing these decisions through dynamic tariff selection and profile management; and synchronizing tariff, campaign, and network policies with operator systems.By enabling application-based network access and energy saving policies to be transmitted to the device, and the impact of optimizations on battery consumption and application performance to be fed back into the AI ​​decision engine, the SIM card is used as an active, intelligent subscription layer that participates in network and application optimization instead of a passive authentication component, providing device and operating system independence and partial independence from operator infrastructure, allowing the user to benefit from a service with a good price-performance balance without manual intervention.

Description

1 TARIFF AI-Powered Smart SIM with Dynamic Tariff and Application Optimization System and Method TECHNICAL FIELD The invention relates to mobile communication systems, SIM / eSIM technologies, and user experience optimization. It is related to the fields of edge artificial intelligence and intelligent subscription management. The invention specifically works on artificial intelligence that operates on the SIM or eSIM used by the user in their mobile device. The intelligent decision-making engine processes user context data to provide the user with a suitable tariff. planning and determining network usage policy, application-based network and energy policies. Triggering from the SIM level and the performance results of the optimizations performed. It is related to a system and method for its continuous updating. 15 PREVIOUS TECHNIQUE Current mobile communication systems include tariff plan selection, campaign management, and service. Optimization is mostly done through operator systems or by manual user selection. 20 This is done using a SIM card, which usually contains the user identity and network access permissions. as a passive component that carries, performs authentication and profile storage functions It is used. Users in different geographical locations, time zones and applications Despite the varying network needs across different usage profiles, this variability exists. This may not be reflected in your tariff plan or network usage policy in real time. 25 In current solutions, application-based optimizations are mostly based on the mobile device's operating system. or is executed at the application layer and the user context at the SIM level. A decision-making process that generates tariff, network, and application optimization decisions by evaluating them together. There is no layer. Therefore, the user's location or usage 30 According to this scenario, it may not automatically receive the appropriate tariff, and network resources are inefficient. It can be used and, especially in frequently used applications, eliminates unnecessary signaling and redundancy. Connection issues and battery drain may occur. As a result of research conducted in the literature, publication number US20240147215A1 and “Intelligent 35 titled "Subscriber Identity Module (SIM) Switching" A patent document was found. This document concerns items located on user equipment. 2 Switching between multiple SIM cards or SIM profiles, with the decision to switch based on location and network. quality, subscription, cost and similar criteria should be determined by a policy. He explains that some structures use artificial intelligence or machine learning models. It states that it can be used. However, the document mentions that the user context is SIM. The fact that decisions regarding the tariff plan and network usage policy are collected at the level of 5 Generated by an AI decision engine running on SIM, application-based energy. and traffic optimization is triggered via SIM, affecting performance and battery consumption. A collaborative technical structure where the results are fed back into the same decision engine. It is not explained. As a result of research conducted in the literature, publication number WO2022147313A1 and “Efficient "Application-layer SIM management on multi-SIM UE" (On multi-SIM user equipment) A patent document titled "Efficient Application Layer SIM Management" was also found. The subject of this document is client applications on user equipment using multiple SIM cards. 15 Associated with specific SIM cards, application priorities, context or trigger By evaluating the information, SIM usage is managed and implemented on the operator side. It explains how to optimize traffic. However, the document also mentions tariffs and network... the usage policy decision runs directly on the SIM card, rather than on the device or network side. This is due to the AI ​​decision engine providing dynamic tariff and profile management. Decision-making and implementation results regarding energy and application performance on SIM 20 It is not explained how the service management is continuously updated by feeding feedback to the engine. Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. Dynamic tariff and application with AI-powered smart SIM to bring advantages. It relates to optimization systems and methods. 30 The main purpose of the invention is to evaluate user context data at the SIM level and determine the tariff. decisions regarding network usage policy are made directly on the SIM using artificial intelligence. The goal is to enable it to be produced by the engine. 35 3 Another purpose of the invention is to take into account the user's geographic location, time zone, and application usage. density, network conditions, past usage habits, application behavior, energy consumption User intervention in selecting the appropriate tariff and service profile based on profile and performance results. dynamic determination without requiring it, and providing the user with a suitable price-performance balance. The goal is to enable the owner to benefit from the service. 5 Another aim of the invention is to focus on application-based network access parameters and energy saving. By triggering communication policies at the SIM level, more intensive use is achieved in heavily used applications. The goal is to achieve low latency, a more stable connection, and longer battery life. Another purpose of the invention is to bridge the gap between operator profiles, tariffs, campaigns, and network policies. Implementing dynamic service management that is compatible with user behavior and the existing context. to provide. Another objective of the invention is to improve battery consumption and application performance through the implemented optimizations. by monitoring its impact and feeding those results back to the artificial intelligence decision engine The goal is to ensure that service management is continuously updated over time. Another objective of the invention is to enable the decision-making function to be performed directly on the SIM or eSIM. Its execution is independent of the device and operating system, and only partially dependent on the operator infrastructure. The goal is to enable the creation of an independent smart subscription tier. All the purposes mentioned above and those that will emerge from the detailed explanation below. The invention aims to realize user-specific tariffs, networks, and systems in mobile communication systems. A 25 that enables application optimization decisions to be generated at the SIM or eSIM level. It is a system, and its characteristic is; • Secure processor, memory, and isolated operating environment on a SIM or eSIM providing an intelligent SIM hardware platform,  operates on a smart SIM hardware platform and processes user context data. User context collection module, 30  User context data collected by the user context collection module by processing decisions regarding the tariff plan and network usage policy on the SIM card. AI decision engine that produces,  Dynamic tariff that implements decisions generated by an artificial intelligence decision engine. Election and profile management module, 35  Energy-saving communication with application-based network access parameters application that communicates policies to the device and traffic optimization interface, 4  Synchronization of tariff, campaign and network policies with operator systems secure operator integration interface that enables  the impact of the implemented optimizations on battery consumption and application performance By monitoring its effect, the results are fed back to the artificial intelligence decision engine. energy and performance monitoring module 5 that transmits energy. It includes. The invention also includes the integration of user context data into a smart SIM hardware platform. the collection of this data in the artificial intelligence decision engine running on the SIM processing, generating tariff plan and network usage policy decisions on the SIM, decisions 10 Implementation of tariff and profile management, synchronization with operator systems. implementation, communication of application-based network and energy policies to the device, and performance The battery consumption results are fed back to the AI ​​decision engine based on a workflow. a method is presented. The structure of the invention and the best understanding of its advantages, including additional components. This should be evaluated together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 is a representative block illustrating the functional relationship between the elements of the system described in the invention. It is a diagram. Figure 2 shows a representative flowchart illustrating the process steps and feedback flow of the method described in the invention. It is a diagram. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a significant extent... Identical elements or elements with similar functions are numbered the same way. It is shown. REFERENCE NUMBERS 1. Smart SIM hardware platform 2. User context collection module 3. SIM-based AI decision engine 35 4. Dynamic tariff selection and profile management module 5. Application and traffic optimization interface 6. Secure operator integration interface 7. Energy and performance monitoring module 1001. User's geographic location, connection type, time zone, application usage intensity. and user context data regarding network conditions on the intelligent SIM hardware platform 5 context of the working user is collected by the context collection module. 1002. The collected user context data is used by the AI ​​decision engine running on the SIM. by past usage habits, previously selected tariff profiles and performance processing taking into account the results 1003. Artificial intelligence makes decisions regarding the appropriate tariff plan and network usage policy for the user. decision engine generated on SIM 1004. The decisions made are available through the dynamic tariff selection and profile management module. To change your operator profile or tariff, or to switch to a different service profile within the same operator. to be implemented in order to activate 1005. Secure operator integration interface for tariffs, campaigns and network policies 15 synchronization with operator systems via 1006. Network access parameters and energy saving for the most frequently used applications. Communication-focused policies, SIM-triggered application and traffic optimization. transmitted to the device by the interface 1007. The impact of the implemented optimizations on battery consumption and application performance is 20%. monitored by the energy and performance monitoring module 1008. Monitoring results are used by the energy and performance monitoring module to make AI decisions. transmitted as feedback to the motor DETAILED DESCRIPTION OF THE INVENTION 25 This detailed explanation describes the AI-powered smart SIM, the subject of the invention, with its dynamic tariff and... The application optimization system and method are solely aimed at a better understanding of the subject. This is explained with examples that will not create any limiting effects. Within the scope of the invention, the smart SIM hardware platform (1) is the physical SIM that the user inserts into the mobile device. A technology that provides a secure processor, memory, and isolated operating environment on a SIM card or eSIM. It is the carrier. User context collection module (2) is on the smart SIM hardware platform (1). It is working and takes into account the user's geographic location, connection type, time zone, and application. It collects data on usage intensity and network conditions. AI on SIM 35 decision engine (3), software decision engine running on smart SIM hardware platform (1) contextual information collected by the user context collection module (2) in the past 6 usage habits, previously selected tariff profiles, application behavior, energy consumption By processing the user's profile and performance results, it determines the most suitable tariff plan and network for that moment. It generates decisions regarding usage policies directly on the SIM card. Thus... User mobile behavior, location information, and app usage patterns over time It can be used in context-sensitive and continuously updated service management by learning the relevant elements. 5 Dynamic tariff selection and profile management module (4), artificial intelligence decision engine (3) implementing the decisions made, automatically updating the existing operator profile or tariff. They can change or activate a different service profile within the same operator. Application and traffic optimization interface (5), application-based triggered from SIM level As part of optimization, network access parameters for the most frequently used applications are 10. and communicates energy-saving focused communication policies to the device. Secure operator integration interface (6), tariffs, campaigns and network policies with operator systems by synchronizing dynamic tariff and profile management securely with operator systems. It enables the correlation. The energy and performance monitoring module (7) performs We are monitoring the impact of optimizations on battery consumption and application performance and obtaining 15 The results obtained are transmitted as feedback to the SIM-based artificial intelligence decision engine (3). Within the scope of the policies transmitted to the device by the application and traffic optimization interface (5) Lower signaling and less frequent reconnections for specific applications. Data transfer parameters suitable for application use can be applied. This allows 20 Especially in heavily used applications, it offers lower latency, a more stable connection, and more. Long battery life can be achieved by the energy and performance monitoring module (7). The feedback provided improves the performance of the artificial intelligence decision engine (3) in its subsequent decisions. taking the results into account and the system being a continuously updated service over time This enables the management to be carried out. Continuous updating of the user context 25 Thanks to changes in location, time, and usage scenario, your tariff plan and network usage can be adjusted. This can be dynamically reflected in the policy, and the user can do so without manual intervention. Customers can benefit from a service that offers a good price-performance balance. (Terms and network usage included) The decision regarding the policy is made by a central decision-making unit within the device operating system or operator network. instead of being produced by the artificial intelligence decision engine (3) that runs directly on the SIM 30 Thanks to this, the SIM card goes beyond authentication and profile storage functions to include network and application capabilities. It becomes an active decision-making layer involved in optimization. This structure involves the device and operation. a smart subscription with system independence and partial independence from operator infrastructure It allows for the creation of an application-based energy and traffic layer. The optimization is triggered via SIM, the configuration is only possible with eSIM or profile 35 It ensures that it is separated from the solutions that carry out the management. 7 The steps involved in the process are as follows: - User's geographic location, connection type, time zone, application usage Intelligent SIM hardware with user context data regarding density and network conditions User context collection module (2) running on platform (1) collection (1001), 5 - The collected user context data is used by the AI ​​decision engine running on the SIM. (3) by past usage habits, previously selected tariff profiles and processing taking into account performance results (1002), - Decisions regarding the appropriate tariff plan and network usage policy for the user are artificially created. Generation of the intelligence decision engine (3) on SIM (1003), 10 - The decisions produced are available through the dynamic tariff selection and profile management module (4). To change your operator profile or tariff, or to switch to a different service within the same operator. Implementation to activate the profile (1004), - Secure operator integration interface for tariff, campaign and network policies (6) synchronization with operator systems via (1005), 15 - Network access parameters and energy saving for the most frequently used applications. focused communication policies, applications and traffic triggered via SIM. Transmission to the device by the optimization interface (5) (1006), - The effects of the implemented optimizations on battery consumption and application performance. its effect is monitored by the energy and performance monitoring module (7) (1007), 20 - Monitoring results are processed by artificial intelligence via the energy and performance monitoring module (7). (1008) to be transmitted as feedback to the decision engine (3). The working principle of the invention is the user context collection module (2), smart SIM hardware the platform (1) collects contextual data about the user and such data 25 The data is transferred to the AI ​​decision engine (3) on the SIM. The AI ​​decision engine (3), Context data includes past usage habits, previously selected tariff profiles, and application information. tariff plan by evaluating behavior, energy consumption profile and performance results. and generates decisions regarding network usage policy on the SIM card. Dynamic tariff selection. and profile management module (4) secure operator integration when implementing these decisions 30 interface (6) synchronize tariffs, campaigns and network policies with operator systems The application and traffic optimization interface (5) provides access to the most frequently used applications. Network access parameters and energy-saving communication policies are implemented on the device. The energy and performance monitoring module (7) reports that these optimizations affect battery consumption and monitoring its impact on application performance and feeding the results into the AI ​​decision engine. 35 (3) provides feedback. Thus, the user can perform a suitable operation in the context of use without manual intervention. 8 from tariff, network profile and application optimization settings and a suitable price-performance balance the owner can benefit from the service, and on the operator side, it is more adaptable to user behavior. And dynamic service management can be implemented.

Claims

9 REQUESTS 1. User-specific tariff, network, and application optimization in mobile communication systems. It is a system that enables decisions to be made at the SIM or eSIM level, and its feature is;  Secure processor, memory and isolated operating environment on a SIM or eSIM 5 Smart SIM hardware platform (1),  running on the smart SIM hardware platform (1) and the user's geographical location, connection type, time zone, application usage intensity, and network User context collection gathers user context data relating to the terms and conditions. module (2), 10  User context collected by the user context collection module (2) data along with past usage habits and performance results by processing the appropriate tariff plan and network usage policy for the user. AI decision engine that generates decisions on SIM (3),  by implementing the decisions generated by the artificial intelligence decision engine (3) existing 15 operator profile or tariff that is automatically changed or the same operator Dynamic tariff selection and profile that activates a different service profile within it. management module (4),  Triggered via the smart SIM hardware platform (1) and the most frequently used Network access parameters for applications and energy-saving communication 20 application and traffic optimization interface (5) that transmit policies to the device,  Profiles and profiles are managed by the dynamic tariff selection and profile management module (4) the operator's tariff, campaign and network policies regarding tariff management Secure operator integration interface that synchronizes with systems (6),  The 25% impact of the implemented optimizations on battery consumption and application performance By monitoring its effect, the results obtained are returned to the artificial intelligence decision engine (3). energy and performance monitoring module (7) It includes.

2. The system is compliant with claim 1 and its feature is that the artificial intelligence decision engine (3) has previously been used for 30 Selected tariff profiles are based on user context data, past usage habits, application behavior, energy consumption profile and performance results working together It is a decision engine.

3. The system complies with Claim 1, and its feature is that the application and traffic optimization interface is 35. (5), lower signaling to the device, less frequent reconnection and application. network access and communication including data transfer parameters suitable for its use It is an interface that communicates its policies.

4. User-specific tariff, network, and application optimization in mobile communication systems. It is a method for generating decisions at the SIM or eSIM level, and its characteristic is; 5  User's geographic location, connection type, time zone, application usage Smart SIMs use user context data regarding network density and conditions. User context collection module (2) running on hardware platform (1) collected by (1001),  The collected user context data is used to make AI decisions running on the SIM. 10 past usage habits by the motor (3), previously selected tariff processing by taking into account profiles and performance results (1002),  Decisions regarding the appropriate tariff plan and network usage policy for the user generated on SIM by artificial intelligence decision engine (3) (1003),  The decisions produced are processed by the dynamic tariff selection and profile management module (4) 15 To change your current operator profile or tariff, or within the same operator Implementation to activate a different service profile (1004),  Secure operator integration interface for tariff, campaign and network policies Synchronization with operator systems via (6) (1005),  Network access parameters and energy for the most frequently used applications 20 cost-saving communication policies, applications triggered via SIM card and Transmission to the device by the traffic optimization interface (5) (1006),  The effects of the implemented optimizations on battery consumption and application performance Monitoring of its effect by the energy and performance monitoring module (7) (1007),  Monitoring results are artificially generated by the energy and performance monitoring module (7) 25 (1008) is transmitted as feedback to the intelligence decision engine (3) It includes the steps of the process.

5. The method compliant with claim 4 is characterized by its application and traffic optimization interface (5) Network access parameters and energy-saving communication transmitted to the device 30 lower signaling, less frequent reconnections in line with policies and implementing data transfer parameters suitable for application use. It includes the step. 11 6. This method complies with Claim 4 and its characteristic feature is that the monitoring results are transmitted as feedback. next tariff plan and network usage policy by artificial intelligence decision engine (3) It includes the process step that must be considered in making decisions.

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