Dual SIM Dynamic Selection for Data Usage Optimization
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Solution Overview
Problem
Current wireless communication systems face challenges in dynamically managing subscriber identity module (SIM) preferences, leading to inefficient data usage and power consumption, as users must manually toggle between SIMs based on static settings, which fails to adapt to changing needs or locations.
Innovation Solution
A multi-SIM user equipment (UE) dynamically selects a SIM for data usage based on preconfigured user preferences, historical data usage, application classification, and location information, allowing for automatic segregation of data usage purposes and reducing power consumption by restricting data activity during non-active hours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual SIM selection is used, then user control over SIM preference is maintained, but data usage efficiency and power consumption are degraded
Solution Approach 1:
The system enables automatic SIM selection by allowing the device to autonomously determine which SIM to use for data based on preconfigured user preferences, historical data usage patterns, application classification, and location information. This self-service mechanism eliminates the need for manual user intervention while optimizing data usage efficiency across different scenarios.
2Device complexity
If static SIM preferences are used, then configuration simplicity is maintained, but adaptability to changing user needs and locations is degraded
Solution Approach 1:
The system transforms static SIM preferences into dynamic selection by continuously evaluating multiple factors including preconfigured user preferences, historical data usage patterns, application classification, and real-time location information. This dynamic approach allows the device to automatically adapt SIM selection to changing user needs and environmental conditions while maintaining configuration simplicity through automated decision-making.
Solution Approach 2:
The system performs preliminary configuration by collecting and analyzing user preferences, historical data usage patterns, and application classification information in advance. This pre-processing enables the automatic SIM selection algorithm to make informed decisions without requiring complex real-time user input, thus maintaining configuration simplicity while achieving high adaptability.
3Use of energy by moving object
If data activity is restricted during non-active hours, then power consumption is reduced, but data transfer capability is degraded
Solution Approach 1:
The system implements periodic data activity based on determined active hours for each SIM. During non-active hours, data transfers are restricted or deferred to alternative SIMs, thereby reducing power consumption. This periodic action pattern aligns data transfer activities with user usage patterns while maintaining data transfer capability through intelligent scheduling and SIM selection.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for wireless communications by a multi-subscriber identity module (multi-SIM) user equipment (UE), comprising: receiving a set of preconfigured user preferences, based on, at least in part, the set of preconfigured user preferences, dynamically selecting to communicate data using one of a first SIM or a second SIM of the multi-SIM UE, and receiving data transfer using the selected first SIM or second SIM.