Wireless Network Selection Using Battery Power Metrics
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Solution Overview
Problem
Mobile devices face challenges in selecting wireless networks that optimize battery power consumption, especially in limited service states or roaming scenarios, where traditional methods like selecting based on signal strength do not prioritize battery efficiency.
Innovation Solution
A method and system for mobile devices to select wireless networks by considering parameters representative of battery power consumption, such as DRX cycle coefficients and spotty coverage metrics, to minimize power usage and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile devices select wireless networks based on signal strength, then network connection reliability is improved, but battery power consumption is not optimized
Solution Approach 1:
The patent changes the network selection parameter from signal strength to battery power consumption metrics (such as DRX cycle coefficients and spotty coverage metrics). By introducing these new parameters, the system can identify networks that consume less battery power while still providing acceptable service, thus resolving the contradiction between connection reliability and energy efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms by measuring actual battery power consumption and network service quality. This feedback allows the mobile device to learn from previous network selections and adjust future choices to optimize battery life while maintaining reliable connectivity, addressing both reliability and energy consumption concerns.
2Ease of operation
If mobile devices camp on any available network in limited service state, then ease of operation is improved, but battery power consumption increases
Solution Approach 1:
The patent introduces battery power consumption as a new selection criterion alongside traditional parameters. By changing the decision-making parameter to include power consumption metrics, the system maintains ease of operation (automatic network selection) while actively optimizing for lower battery consumption, thus resolving the contradiction between operational simplicity and energy efficiency.
3Device complexity
If mobile devices select networks without considering battery consumption parameters, then device complexity is reduced, but battery life duration decreases
Solution Approach 1:
The patent adds battery consumption parameters (DRX cycle coefficients, spotty coverage metrics) to the network selection process. This parameter expansion enables the system to extend battery life duration by selecting more power-efficient networks, while the complexity increase is managed through automated measurement and evaluation processes.
Solution Approach 2:
The mobile device autonomously measures and evaluates battery consumption parameters without user intervention. The system self-manages the complexity of power consumption analysis and network selection, extending battery life while keeping the user experience simple and the implementation manageable.
Data Source
AI summary
The application relates to wireless network selection. The effect of wireless network selection upon operation time of the mobile device is considered in making the wireless network selection.


