Mobile Device Antenna Configuration Optimization
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Solution Overview
Problem
Mobile devices face challenges in efficiently managing signal interference from user proximity and environmental changes, affecting wireless communication efficiency and power consumption.
Innovation Solution
The mobile device employs a method to determine its environmental or operational state by analyzing signal response shifts, adjusting antenna configuration and user profile data to optimize wireless communication and power management, such as swapping antenna functions or disabling touch screens based on user interaction and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile device uses a fixed antenna configuration, then the device structure is simple, but wireless communication efficiency deteriorates under varying environmental conditions
Solution Approach 1:
The patent implements dynamic antenna configuration that automatically adjusts antenna usage and touch screen functionality based on real-time environmental conditions and user behavior patterns. The system transitions from static to dynamic operation by monitoring signals from multiple antennas and switching between them based on signal quality, thereby resolving the contradiction between communication reliability and device complexity.
Solution Approach 2:
The system changes operational parameters including antenna selection, touch screen enablement/disabling, and power management settings based on detected environmental conditions and user interactions. By dynamically adjusting these parameters, the system maintains high communication efficiency while adapting to varying conditions without requiring complex manual configuration.
2Reliability
If the mobile device continuously monitors signal conditions and adjusts operations, then wireless communication efficiency is improved, but power consumption increases
Solution Approach 1:
The patent employs periodic monitoring of signal conditions rather than continuous monitoring, adjusting antenna configuration and touch screen operation at intervals based on detected changes in environmental conditions or user behavior. This periodic approach maintains communication efficiency while significantly reducing power consumption compared to continuous adjustment.
Solution Approach 2:
The system uses machine learning models trained on user interaction data to predict optimal antenna configurations and touch screen settings, reducing the need for constant active monitoring. The pre-trained models enable the system to make intelligent decisions with minimal processing, thereby maintaining reliability while conserving energy.
3Use of energy by moving object
If the mobile device disables touch screen based on user interaction patterns, then power consumption is reduced, but user interaction capability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors user interaction patterns with the device. When the system detects that the user is actively using the device (through sensors, input detection, or application usage), it automatically re-enables the touch screen. This feedback loop ensures that power consumption is reduced during inactive periods while user interaction capability is restored when needed, resolving the contradiction between energy savings and operational ease.
Data Source
AI summary
In one embodiment, a method includes accessing data encoding a response shift in a signal received through an antenna of a mobile device. The signal corresponds to wireless communication to the mobile device from another device. The response shift is detected and encoded by a modem of the mobile device coupled to the antenna. The method also includes determining an environmental or operational state of the mobile device based at least in part on the response shift encoded in the data.