Intelligent SIM Switching via AI-Driven Network Selection
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Solution Overview
Problem
Current SIM switching technologies for user equipment (UE) devices are not intelligent or optimal, lacking the ability to dynamically adjust based on various criteria such as location, network quality, and user preferences, leading to suboptimal network performance and user experience.
Innovation Solution
An intelligent subscriber management server monitors traffic and determines when to switch between SIMs or SIM profiles based on policies that consider location, hardware capabilities, network quality, subscription criteria, and cost, using deterministic or probabilistic logic, including AI/ML models, to optimize network selection and switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual or basic automatic SIM switching is used, then device simplicity is maintained, but network performance and user experience deteriorate due to inability to dynamically optimize network selection
Solution Approach 1:
The patent introduces an intelligent subscriber management server as an intermediary between the UE device and multiple carrier networks. This server handles the complex AI/ML-based analysis and SIM switching decisions centrally, allowing the UE device to maintain simplicity while achieving optimized network performance through the intermediary's intelligent processing of traffic patterns, network conditions, and policy-based decision making
Solution Approach 2:
The patent replaces traditional rule-based or manual SIM switching mechanisms with AI/ML-based intelligent decision-making systems. The intelligent subscriber management server uses machine learning models to analyze network conditions, traffic patterns, and device states, substituting mechanical switching logic with adaptive, data-driven algorithms that optimize network selection dynamically
2Adaptability or versatility
If static SIM selection is used, then device operation simplicity is maintained, but adaptability to changing network conditions and user preferences deteriorates
Solution Approach 1:
The patent implements dynamic SIM switching where the selected SIM profile changes based on real-time network conditions, device state, and user preferences. The intelligent subscriber management server continuously monitors traffic patterns, network quality, and device location, dynamically adjusting SIM selection to optimize performance while adapting to changing conditions without requiring user intervention
Solution Approach 2:
The system enables self-service intelligent SIM switching where the intelligent subscriber management server automatically monitors network conditions, analyzes traffic patterns, and performs SIM switching decisions without user intervention. The system serves itself by using AI/ML models to autonomously optimize network selection based on predefined policies and real-time data, maintaining ease of operation while achieving high adaptability
3Reliability
If basic SIM switching without AI/ML models is used, then system complexity is reduced, but network quality optimization and cost reduction capabilities deteriorate
Solution Approach 1:
The intelligent subscriber management server acts as an intermediary that centralizes the complex AI/ML-based network quality optimization functions. This server performs sophisticated analysis of network conditions, device performance metrics, and cost considerations, then provides optimized SIM switching recommendations to the UE device, allowing high network quality optimization without increasing device complexity
Solution Approach 2:
The patent replaces basic switching decision mechanisms with AI/ML-based intelligent optimization systems. The intelligent subscriber management server uses machine learning models to analyze multiple parameters including network quality metrics, device performance, user preferences, and cost factors, substituting simple switching logic with adaptive algorithms that optimize network quality while managing complexity centrally rather than at the device level
Data Source
AI summary
Intelligent subscriber identity module (SIM) switching for user equipment (UE) devices is disclosed. The UE may have multiple SIMs for multiple carrier networks (i.e., mobile network operators (MNOs) that provide wireless network infrastructure, such as radio access networks (RANs)) or a universal SIM. It may be desirable to switch between SIMs for various reasons, such as based on network quality criteria, subscription criteria, agreement criteria between MNOs, etc. These criteria may inform a policy for determining which SIM to use.