Wireless Signal Integrity Map Using Mobile Endpoint Data
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Solution Overview
Problem
Cellular service providers and enterprises face challenges in identifying and addressing areas with poor wireless signal coverage and interference, requiring costly site surveys and manual mapping processes, which are inefficient and resource-intensive.
Innovation Solution
A method and system that utilize signal quality information and location data from mobile endpoints to create and continuously update a wireless signal integrity map, allowing for automatic identification of signal quality regions and optimization of network infrastructure, reducing the need for manual surveys and enabling real-time monitoring of signal impacts from new constructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual site surveys and mapping processes are used to identify poor signal coverage areas, then measurement precision and reliability of signal quality assessment is improved, but loss of time and device complexity increase significantly
Solution Approach 1:
The system enables mobile devices to automatically monitor and report their own signal quality and location data without requiring manual site surveys. The devices self-service by collecting, transmitting, and contributing to the creation of signal integrity maps, eliminating the need for dedicated technicians to perform manual measurements.
Solution Approach 2:
The patent replaces manual mechanical site survey processes with automated electronic systems. Mobile devices use their built-in sensors, GPS, and communication capabilities to automatically collect signal quality data and location information, substituting the manual mechanical process of physical site surveys with an automated electronic measurement system.
2Measurement precision
If dedicated teams with special equipment conduct manual signal mapping, then measurement precision is improved, but device complexity and loss of time increase
Solution Approach 1:
The system leverages the universal capabilities already present in mobile devices - GPS for location, signal strength sensors for measurement, and communication modules for data transmission. Instead of requiring specialized equipment, the patent makes existing multi-functional device components serve the purpose of signal mapping, eliminating the need for dedicated complex mapping equipment.
Solution Approach 2:
Mobile devices perform the mapping function themselves using their inherent capabilities. The devices self-service by utilizing their built-in GPS, signal sensors, and processing power to conduct signal strength measurements and contribute to the overall mapping, eliminating the need for external specialized equipment and dedicated teams.
3Reliability
If manual site mapping is performed repeatedly to account for user patterns and interference, then reliability of network optimization is improved, but loss of time and productivity decrease
Solution Approach 1:
The system continuously collects signal quality and location data from mobile devices as they move through the network area. This continuous data collection enables the system to automatically update signal integrity maps in real-time, capturing changes in user patterns and interference conditions without requiring repeated manual surveys, thus maintaining high reliability while improving productivity.
Solution Approach 2:
The system uses feedback from continuous signal quality measurements and user behavior data to dynamically update network optimization strategies. The collected information feeds back into the signal integrity maps and network planning processes, enabling iterative improvement of network performance without requiring repeated manual mapping operations.
4Reliability
If service providers invest in additional network equipment to improve coverage, then reliability of service coverage is improved, but loss of energy and loss of substance increase due to limited resources
Solution Approach 1:
The system performs preliminary identification of poor signal coverage areas and interference zones using automated data collection from mobile devices. By proactively mapping signal integrity issues before they become critical problems, the system enables service providers to plan and invest network resources more efficiently, targeting improvements only where needed based on actual measured conditions rather than speculative expansion.
Data Source
AI summary
A method includes receiving destination information comprising a desired destination and receiving regional signal quality information comprising signal quality information associated with one or more regions of an area. The method also includes determining a first route to the desired destination based on the regional signal quality information.