Dynamic USIM Control File Management for Network Camping Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current static settings on the USIM for Home PLMN and access technology selection fail to optimize radio camping due to dynamic and unpredictable PLMN radio conditions, service use, and varying commercial agreements, leading to suboptimal network and technology usage, which can result in cost inefficiencies and poor user experience.
Innovation Solution
A dynamic HPLMN and access technology management system that uses a Camping Management Application (CMA) to monitor network conditions and subscriber behavior, updating SIM control files via OTA provisioning to adjust priority lists and search periods dynamically, ensuring optimal network and technology selection based on real-time factors such as load, service usage, and operator preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static settings on the USIM are used for Home PLMN and access technology selection, then the system is simple and stable, but it fails to optimize radio camping due to dynamic network conditions, leading to suboptimal network utilization and cost inefficiencies
Solution Approach 1:
The patent implements dynamic HPLMN and access technology management by enabling the camping management application to continuously monitor network conditions and automatically update control files on the USIM card. This transforms the static network selection process into a dynamic system that adapts to changing radio conditions, service usage patterns, and commercial agreements, thereby resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The system employs feedback mechanisms where the camping management application monitors network conditions, service usage, and subscriber behavior, then uses this information to dynamically adjust priority lists and search periods in control files. This closed-loop feedback approach enables the system to adapt to dynamic network conditions while maintaining manageable complexity through automated decision-making algorithms.
2Productivity
If dynamic management is implemented to optimize network selection, then network resource utilization and cost efficiency improve, but the system complexity and implementation difficulty increase
Solution Approach 1:
The camping management application operates autonomously to monitor network conditions, analyze service usage patterns, and automatically update control files without requiring manual intervention. This self-service capability enables dynamic optimization of network resource utilization while keeping implementation complexity manageable by eliminating the need for complex external management systems.
Solution Approach 2:
The system optimizes network resource utilization by dynamically changing parameters such as priority lists and search periods in control files based on real-time network conditions and historical data. This parameter-based approach allows flexible adaptation to improve productivity while maintaining a relatively simple system architecture that only needs to manage a few key parameters.
3Measurement precision
If frequent network searches are performed to find optimal camping options, then network selection quality improves, but battery consumption and service interruption risk increase
Solution Approach 1:
The system implements periodic network searches with dynamically adjusted search periods stored in control files. Instead of continuous monitoring, the camping management application performs searches at optimized intervals based on network stability, service type, and historical patterns. This periodic approach maintains high network selection quality while significantly reducing battery consumption compared to continuous monitoring.
Solution Approach 2:
The system performs network searches with selective precision rather than exhaustive monitoring. The camping management application adjusts the intensity and frequency of searches based on current network conditions - performing more thorough searches when conditions change and reducing search activity during stable periods. This partial action approach optimizes the balance between selection quality and energy consumption.
Data Source
Figure 1
AI summary
The method of the invention manages mobile equipment that are camping in mobile telecommunication networks under a home network using an access technology. In the method, the camping behavior is based on the contents of control files saved in the subscriber identification module of the mobile terminal. The method is mainly characterized in that a list of networks and access technologies are defined into a control file, read by the mobile equipment of a subscriber, and this list is to be used in a priority order to select most appropriate access for camping. The system of the invention comprises standards-based mobile equipment and subscriber identification module having control files stored and having these files OTA-updateable, the contents of which determines the home network and access technology selection behavior by means of a list of networks and access technologies, to be used in a priority order in a camping situation under a home network coverage, and a camping management application with means for handling various event information regarding to the subscriber or network production, and means for updating the control files of the subscriber identification module on the basis of said information.