Dual-Mode Communication Module Intelligent Mode Switching
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Solution Overview
Problem
Users of dual-mode communication devices face challenges in dynamically determining the most beneficial communication mode to use between UTRAN and GAN networks, leading to potential loss of benefits due to the respective advantages and disadvantages of each network, especially concerning battery life and network rating.
Innovation Solution
An intelligent method for switching communication modes in dual-mode communication modules, which involves setting initial coefficients for both modes, evaluating factors like available bandwidth, quality of service, power status, and user credit using impact constants, and dynamically determining the most beneficial mode to switch to based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the cell phone uses default user-preferred settings for mode switching, then the operation is simple and convenient, but the user may lose benefits related to battery life and network rating because the user cannot dynamically determine the most beneficial mode
Solution Approach 1:
The system automatically evaluates multiple factors including battery status, network conditions, application requirements, and user preferences to autonomously determine the optimal communication mode without requiring manual user intervention. The processor continuously monitors these parameters and dynamically selects between UTRAN and GAN modes, enabling the system to serve itself in making intelligent decisions that optimize battery life while maintaining ease of operation.
2Ease of operation
If the cell phone uses default user-preferred settings for mode switching, then the operation is simple and convenient, but the user may lose benefits related to network rating
Solution Approach 1:
The system continuously monitors network conditions, battery status, application requirements, and user preferences, using this feedback to dynamically adjust mode selection decisions. By incorporating real-time feedback from multiple sources, the system can adapt to changing conditions and select the mode that provides the best network rating while maintaining simple operation for the user.
Solution Approach 2:
The system dynamically adjusts communication mode selection based on real-time conditions rather than relying on static default settings. The processor continuously evaluates current battery status, network availability, application requirements, and user preferences to make adaptive decisions, enabling the system to respond to changing conditions and optimize network rating dynamically.
3Loss of energy
If the system considers multiple factors for mode switching, then the optimization of battery life and network rating is improved, but the complexity of the switching mechanism increases
Solution Approach 1:
The system segments the decision-making process into distinct evaluation components: battery status assessment, network condition analysis, application requirement determination, and user preference consideration. Each factor is evaluated separately by the processor, which then integrates these segmented assessments to make the final mode selection, making the complex mechanism more manageable and systematic.
Solution Approach 2:
The processor serves multiple functions within the mode switching mechanism: it monitors battery status, evaluates network conditions, analyzes application requirements, considers user preferences, and makes the final switching decision. By consolidating these diverse functions into a single multi-functional processor, the system manages complexity while maintaining comprehensive optimization capabilities.
4Reliability
If the system continuously monitors multiple parameters for intelligent switching, then the optimization of communication mode selection is improved, but the energy consumption for monitoring and processing increases
Solution Approach 1:
The system monitors multiple parameters continuously but processes and acts on only the most critical factors at any given moment. Rather than fully processing all parameters with equal depth continuously, the system applies partial monitoring and processing to different parameters based on current conditions, reducing overall energy consumption while maintaining optimization accuracy.
Data Source
AI summary
An application-oriented and intelligent method for switching communication modes of a dual-mode communication module is provided. Whether the application program utilizes location-based service is first confirmed. When the application program utilizes location-based service, said communication module is switched to the first communication mode. Otherwise, evaluation, about which one from both the first communication mode and the second communication mode is more beneficial for a user, is performed on the communication module, according to both an available bandwidth and quality of service provided by a communication mode and to both a power and a credit of utilizing communication functions of the communication module. At last, a result of the evaluation is utilized for determining which communication mode from both the first communication mode and the second communication mode to be utilized by the communication module.