Geolocating Cellular QoS Issues via Temporary Subscriber Identifiers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radio access providers face challenges in accurately identifying geographic areas with quality of service issues in wireless communication networks, leading to poor customer experience due to dropped calls, increased buffering times, and service unavailability, as existing methods lack precision in geolocating service quality problems.
Innovation Solution
A system and method that extracts geographic coordinates from communication sessions to associate event issues with precise locations, using techniques like multilateration, triangulation, and GPS data, allowing radio access providers to improve network coverage and quality of service by pinpointing areas with negative events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network monitoring methods are used, then network coverage can be monitored generally, but precise geolocation of quality of service issues cannot be determined
Solution Approach 1:
The patent segments the network monitoring function by creating separate modules: a quality of service issue detection module that identifies service degradation, a geolocation module that determines precise location using multiple techniques, and a correlation module that links issues to locations. This segmentation enables precise geolocation while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary correlation mechanism that connects quality of service events with geolocation data. This intermediary layer processes and matches data from different sources (network events, location data, timing information) to precisely identify where service issues occur, thereby improving measurement precision without requiring complete system redesign.
2Measurement precision
If general coverage monitoring is implemented, then overall network performance can be assessed, but specific areas with service issues cannot be pinpointed
Solution Approach 1:
The patent adds a geographic dimension to network monitoring by incorporating spatial coordinates and location data alongside traditional network performance metrics. This dimensional expansion transforms generic coverage data into geographically-specific information, enabling precise identification of problem areas while preserving all relevant network performance details.
Solution Approach 2:
The patent implements feedback loops where geolocation data from service issues is continuously collected, analyzed, and used to update network coverage maps and identify patterns. This feedback mechanism ensures that geographic details are preserved and utilized to improve network performance in specific problem areas while maintaining overall network assessment capabilities.
3Measurement precision
If multiple geolocation techniques are used, then precise location can be determined, but processing complexity increases
Solution Approach 1:
The patent merges multiple geolocation techniques (multilateration using signal strength from multiple towers, triangulation, and GPS data) into a unified location determination process. By combining these methods and cross-validating their results, the system achieves high coordinate accuracy while managing processing complexity through integrated algorithms that can select or weight different techniques based on availability and reliability.
Data Source
AI summary
A geolocation of a mobile device determined during an event allows a communications network provider to associate geolocation data with QoS issues. The geolocation data may be ascertained by mapping call log data with a temporary subscriber identifier assigned by the communications network provider. Geolocation data may also be obtained from URL data. The geolocation data obtained from URL data may be verified by comparing the URL data with a geo-distance from a connected cell tower. The QoS issue can be associated with geolocation data and subsequently used to improve the network or strengthen the coverage at the geolocation.