Wireless Device Radio Access Technology Selection
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Solution Overview
Problem
Existing RAT selection techniques in wireless communication devices are delayed and do not account for user interaction, leading to suboptimal service experiences due to reliance on signal quality and pre-determined preferences rather than predicted application usage.
Innovation Solution
A method that predicts the application to be used based on user interaction, determines a preferred radio access technology (RAT) considering criteria like cost, power consumption, and availability, and automatically selects or switches to the preferred RAT when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RAT selection is based on signal quality and pre-determined preferences, then the selection process is simple and fast, but the service experience is suboptimal and does not account for user interaction
Solution Approach 1:
The system performs preliminary actions by monitoring user interactions and predicting upcoming applications before they are actually launched. This allows the RAT selection to be prepared in advance based on predicted user needs, improving service experience quality without adding significant complexity to the actual selection moment.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user interactions with the device. This feedback loop allows the system to learn from user behavior patterns and improve its prediction accuracy over time, enabling better RAT selection decisions that account for actual user needs rather than relying solely on pre-determined preferences.
2Reliability
If RAT selection is delayed until application selection is made, then the selection can be more accurate, but the user experience is hindered and service startup is slower
Solution Approach 1:
The system performs RAT selection predictions in advance by monitoring user interactions and predicting which application will be selected next. This preliminary action allows the optimal RAT to be identified before the application actually starts, eliminating the delay between application selection and RAT optimization while maintaining high accuracy.
Solution Approach 2:
The system dynamically adjusts its prediction and selection process based on real-time user interaction monitoring. As user behavior patterns evolve, the system adapts its predictions to maintain accuracy, allowing it to provide accurate RAT selection without requiring delayed decision-making.
3Reliability
If multiple RATs are monitored and searched for optimal selection, then the service quality is improved, but the power consumption and roaming fees increase
Solution Approach 1:
The system performs preliminary monitoring of user interactions and predicts the upcoming application to determine the optimal RAT in advance. This allows the device to proactively select and switch to the most cost-effective RAT before needing it, reducing unnecessary monitoring and power consumption while maintaining high service quality.
Solution Approach 2:
The system uses the device's own user interaction data to make intelligent predictions about upcoming applications and optimal RAT selection. This self-service approach eliminates the need for continuous external network queries and complex multi-RAT monitoring, reducing power consumption while maintaining the ability to select the most cost-effective RAT.
Data Source
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AI summary
A method of operating a wireless communication device may include predicting an application expected to be used based on a user interaction with the wireless communications device, determining a preferred radio access technology (RAT) based on the predicted application, determining whether the wireless communications device is currently utilizing the determined preferred RAT as a current RAT, and performing one of ensuring that the wireless communications device continues to utilize the current RAT when the determined preferred RAT corresponds to the current RAT, or searching for the determined preferred RAT when the current RAT docs not correspond to the determined preferred RAT and selecting the determined preferred RAT, based on the searching, when the determined preferred RAT is found.