Signal Reputation Advisor for Connectivity Management
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Solution Overview
Problem
Users face challenges with signal dead zones, as existing technologies fail to predict and guide users to areas of stronger signal quality effectively, especially in critical situations, leading to loss of connectivity and inconvenience.
Innovation Solution
A method and system that determine signal health scores and directions to areas of higher signal quality by crowd-sourcing signal reputation data, creating signal circles, and providing recommendations to user mobile devices, prioritizing battery conservation and optimizing route planning to avoid dead zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users blindly search for areas of better signal quality in dead zones, then they may eventually find areas with acceptable signal, but they waste time and energy without guidance
Solution Approach 1:
The patent introduces a signal advisor system that acts as an intermediary between users and signal dead zones. This system collects signal data from multiple sources, processes it to identify dead zones and alternative routes, and provides guidance to users. The intermediary processes complex signal information and transforms it into actionable recommendations, saving users time and effort in searching for signal coverage areas.
Solution Approach 2:
The system performs preliminary actions by pre-identifying signal dead zones and calculating alternative routes before users encounter connectivity problems. By proactively mapping signal coverage areas and preparing alternative paths, the system eliminates the need for users to blindly search when they enter dead zones, thus reducing time loss and operational difficulty.
2Measurement precision
If devices continuously collect and process signal data to provide real-time guidance, then signal reputation accuracy improves, but battery consumption increases
Solution Approach 1:
The patent merges signal data collection efforts across multiple devices to create a collective signal reputation database. Instead of each device independently collecting and processing signal data (which would drain batteries), the system combines data from many sources to achieve high measurement precision. This collaborative approach distributes the computational burden and reduces individual device energy consumption while maintaining accurate signal reputation information.
3Reliability
If the system provides detailed route planning to avoid dead zones, then connectivity reliability improves, but device complexity increases
Solution Approach 1:
The signal advisor system serves as an intermediary that handles the complexity of route planning and dead zone avoidance. Instead of embedding complex routing algorithms and signal analysis capabilities in every user device, the centralized signal advisor processes signal data, identifies dead zones, and provides routing recommendations. This external intermediary approach maintains high connectivity reliability while avoiding the need for complex signal processing hardware and software in individual devices.
Data Source
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AI summary
A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.