Mobile Device Performance Constraint via Mean Power Segmentation
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Solution Overview
Problem
Existing mobile devices face challenges in balancing power consumption and performance, particularly in power-saving modes, where uniform constraints on voltage and frequency can lead to decreased reactivity and unnatural user experiences during high-performance operations.
Innovation Solution
A method that calculates and compares mean power consumption over different time durations, allowing for non-uniform performance constraints, such as adjusting current, frequency, and display brightness, to optimize power-saving modes without reducing reactivity, using a current meter or estimating power consumption based on operating parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If uniform performance constraints are applied to reduce power consumption, then power saving is improved, but reactivity and user experience deteriorate
Solution Approach 1:
The patent segments the performance constraint into different time durations (first time duration and second time duration) with different constraint levels. During the first time duration, a first performance constraint standard is applied, and during the second time duration, a second performance constraint standard is applied. This segmentation allows the system to adjust performance constraints dynamically based on temporal patterns, reducing power consumption during appropriate periods while maintaining reactivity when needed.
Solution Approach 2:
The patent implements dynamic performance constraints by adjusting the performance constraint standard values based on time duration. The system calculates mean power consumption over different time durations and compares them against performance constraint standard values, dynamically modifying operational parameters such as voltage, frequency, and display brightness. This dynamic adjustment enables the system to optimize between power saving and reactivity based on real-time conditions.
2Ease of operation
If performance constraints are relaxed to maintain reactivity, then user experience is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts performance constraints based on calculated mean power consumption over different time durations. By comparing mean power consumption against performance constraint standard values, the system can relax constraints when power consumption is within acceptable limits to maintain reactivity, and tighten constraints when power consumption exceeds thresholds to reduce energy usage.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors power consumption, calculates mean values over time durations, and uses these measurements to adjust performance constraints. This feedback loop allows the system to respond to actual power usage patterns, maintaining reactivity when power consumption is acceptable while reducing power usage when constraints are exceeded.
3Ease of operation
If performance constraint standard values are increased to allow higher power usage, then reactivity is maintained, but battery life decreases
Solution Approach 1:
The patent segments the operational timeline into different time durations with different performance constraint standards. By applying stricter constraints during certain time periods and more relaxed constraints during others, the system optimizes the balance between maintaining reactivity and extending battery life. This temporal segmentation allows aggressive performance when needed while conserving power during extended periods.
Solution Approach 2:
The system changes performance constraint parameter values based on calculated mean power consumption and time duration. The application processor adjusts operational parameters such as voltage, frequency, and display brightness dynamically. By varying these parameters over time based on power consumption patterns, the system extends battery life while maintaining adequate reactivity during critical periods.
Data Source
AI summary
Methods of operating a mobile device are provided. A method of operating a mobile device includes calculating a mean power consumption with respect to a time duration, using a measured power consumption or using an estimated power consumption. The method includes comparing a performance constraint standard with the mean power consumption. Moreover, the method includes constraining performance of the mobile device, using an application processor of the mobile device, in response to determining that the mean power consumption exceeds the performance constraint standard. Related mobile devices are also provided.