Adaptive RF Power Analysis Window Lengths for Battery Conservation
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Solution Overview
Problem
Mobile communication devices face battery power conservation challenges due to the need for frequent and time-consuming battery recharging, as existing techniques do not effectively manage radio frequency (RF) power analysis windows based on signal-to-noise ratios (SNR).
Innovation Solution
Adaptive adjustment of RF power analysis window lengths in communication devices based on signal-to-noise ratios (SNR), where longer windows are used for low SNR conditions and shorter windows for high SNR conditions to optimize battery power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF power analysis windows are made longer to improve measurement accuracy, then power level estimation accuracy is improved, but battery power consumption increases
Solution Approach 1:
The patent applies dynamics by making the RF power analysis window length adjustable rather than fixed. The system dynamically changes the window length based on current SNR conditions - using longer windows when SNR is low for accurate measurement, and shorter windows when SNR is high to conserve battery power. This resolves the contradiction by allowing the system to adapt the measurement duration to actual needs.
Solution Approach 2:
The patent changes the parameter of window length based on SNR conditions. When SNR falls below a threshold, the system extends the window length to improve measurement accuracy. When SNR is above the threshold, it shortens the window length to reduce power consumption. This parameter adaptation allows the system to optimize between accuracy and energy efficiency.
2Duration of action of moving object
If RF power analysis windows are made shorter to conserve battery power, then battery life is extended, but power level estimation accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts window length based on real-time SNR measurements. When SNR is high, it uses shorter windows to maximize battery life. When SNR degrades, it automatically extends the window to maintain measurement accuracy. This dynamic adaptation allows the system to optimize both battery life and accuracy based on actual communication conditions.
Solution Approach 2:
The patent implements feedback by continuously monitoring SNR and using this information to adjust the window length. The SNR measurement feeds back into the control logic, which then modifies the analysis window duration accordingly. This closed-loop control ensures that the system maintains adequate measurement accuracy while conserving battery power.
3Device complexity
If fixed window length is used for RF power analysis, then system complexity is reduced, but adaptability to varying SNR conditions deteriorates
Solution Approach 1:
The patent introduces dynamic adjustment capability to the otherwise static window length parameter. By adding SNR-based control logic, the system becomes adaptable to varying communication conditions without requiring multiple fixed window configurations. This single dynamic mechanism provides versatility across different SNR scenarios.
Solution Approach 2:
The system changes the window length parameter based on SNR conditions rather than using a fixed value. This parameter adaptation enables the system to handle diverse SNR scenarios - from strong to weak signal conditions - while maintaining relatively simple system architecture through a single adjustment mechanism.
Data Source
AI summary
A system comprising a first communication device and a second communication device adapted to determine a property of communications between the first and second communication devices. The second communication device estimates a power level associated with the first communication device for a length of time determined according to the property.