Radio Interface Selection System for Multi-Radio Devices
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Solution Overview
Problem
Users face difficulties in configuring and selecting the optimal radio interface for communication applications on multi-radio devices due to the complexity of managing different radio technologies, which affects power consumption and user experience.
Innovation Solution
A system comprising a determining unit to identify applicable radio interfaces, a ranking unit to rank these interfaces based on predefined criteria, and a selecting unit to choose the most suitable interface for minimizing power consumption and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple radio interfaces are provided in a mobile station, then communication versatility and options are improved, but device complexity and configuration difficulty increase
Solution Approach 1:
The system automatically evaluates and selects the optimal radio interface based on predefined criteria without requiring user configuration. The mobile station itself performs the selection by evaluating available radio interfaces against criteria such as power consumption, data rate, and cost, thereby serving itself rather than relying on user expertise.
Solution Approach 2:
The system changes the selection criteria parameters dynamically based on current conditions. By using predefined evaluation criteria that can prioritize different factors (power consumption, data rate, cost), the system adapts its selection behavior to match user preferences and current operational context without requiring manual reconfiguration.
2Ease of operation
If manual radio interface configuration is required, then user control is improved, but ease of operation deteriorates
Solution Approach 1:
The mobile station automatically performs radio interface selection based on predefined criteria, eliminating the need for manual user configuration. This self-service approach maintains user control through predefined preferences while removing the operational burden of manual setup and management.
3Reliability
If user selects radio interface manually, then user preference alignment is improved, but optimization accuracy deteriorates
Solution Approach 1:
The system performs automatic evaluation and selection of radio interfaces based on multiple criteria including power consumption, data rate, and cost. This self-service capability achieves optimization accuracy that would be difficult for users to attain manually, while eliminating the need for user expertise in radio technology evaluation.
Solution Approach 2:
The system continuously evaluates available radio interfaces against predefined criteria and selects the optimal one. This feedback mechanism ensures that the selection is based on current conditions and multiple factors, achieving higher optimization accuracy than manual selection while requiring no user expertise.
4Reliability
If automatic radio selection is implemented, then optimization accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses predefined evaluation criteria that are established in advance. By preparing the selection framework beforehand with defined parameters such as power consumption weights, data rate requirements, and cost considerations, the system reduces the complexity of the real-time selection process while maintaining high optimization accuracy.
Data Source
AI summary
An apparatus, including a determining unit for determining one or more applicable radio selections including one or more radio interfaces for use by one or more communication applications, a ranking unit for ranking the applicable radio selections to an order of superiority according to a predefined ranking criterion, and a selecting unit for selecting a radio selection, of the one or more applicable radio selections, for use by the one or more communication applications on the basis of the order of superiority of the radio selections.