Smartphone Path-Loss Estimation for Proximity Accuracy
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Solution Overview
Problem
Existing wireless device communication systems face challenges in accurately estimating path-loss due to environmental factors, leading to false proximity alerts, as signal strength variations are influenced by indoor and outdoor environments, causing unnecessary alerts and battery drain.
Innovation Solution
A smartphone or electronic device adjusts path-loss parameters, including the alert threshold and monitor interval, based on user context indicators such as location and movement history, to compensate for environmental factors and reduce false alerts, allowing for more accurate proximity determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the smartphone estimates distance based on received signal strength, then proximity monitoring is enabled, but false proximity alerts occur due to environmental factors affecting signal strength
Solution Approach 1:
The patent changes the parameter used for distance estimation from received signal strength to path-loss. Path-loss is calculated by subtracting the received signal strength from the transmitted signal strength, which compensates for environmental factors like walls and multipath reflections that affect received signal strength independently of actual distance. This parameter transformation resolves the contradiction by providing more accurate distance measurements that are not falsely influenced by environmental conditions.
2Ease of operation
If the smartphone uses a fixed alert threshold for proximity monitoring, then implementation is simple, but false alerts occur in different environmental conditions
Solution Approach 1:
The patent makes the alert threshold dynamic by adjusting it based on the estimated path-loss characteristics of the current environment. Instead of using a fixed threshold, the system adapts the threshold according to the measured path-loss, which varies with environmental conditions such as indoor versus outdoor settings. This dynamic adjustment maintains ease of operation while significantly improving alert accuracy by preventing false positives in different environments.
3Measurement precision
If the smartphone continuously monitors proximity with high precision, then accurate proximity detection is achieved, but battery consumption increases
Solution Approach 1:
The patent implements periodic monitoring with variable intervals based on the current environment and path-loss characteristics. Instead of continuous monitoring, the system performs path-loss estimation and proximity checks at scheduled intervals, adjusting the monitor interval dynamically. When the device is in a stable environment with predictable path-loss patterns, monitoring intervals are extended, reducing battery consumption while maintaining adequate detection accuracy. This periodic approach with adaptive intervals resolves the contradiction between precision and energy consumption.
Data Source
AI summary
A method on a first device for estimating path-loss between the first device and a second device is described. A user context indicator associated with the first device is determined. At least one path-loss parameter of a plurality of path-loss parameters for the first device is updated based on the user context indicator. At least one wireless signal is received from the second device. The path-loss between the first device and the second device is estimated based on the plurality of path-loss parameters and the at least one wireless signal.