Mobile Network Quality Prediction via Crowdsourced Vehicle Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining mobile communications network quality and downloading data in vehicles do not effectively account for changing boundary conditions and do not provide a continuously updated database for accurate prediction of network quality along routes, leading to potential service disruptions and inefficiencies in data preloading.
Innovation Solution
A method and system that continuously acquire and update data on mobile communications network quality from vehicles, creating a global knowledge base to predict channel qualities along routes, allowing for selective preloading of data based on predicted network conditions, user preferences, and application-specific priorities, and generating a digital map to support optimized data distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data are transmitted to a database from multiple vehicles, then the database contains more information for prediction, but the data processing complexity increases
Solution Approach 1:
The patent combines measurement data from multiple vehicles into a single database, merging individual data sets to create a comprehensive knowledge base that improves prediction accuracy while centralizing data processing
Solution Approach 2:
The database serves multiple functions: storing individual vehicle measurements, maintaining aggregated knowledge base data, and providing prediction information to multiple vehicles, thereby handling complexity through a universal data management system
2Reliability
If data are continuously acquired and stored in a database, then the knowledge base is continuously improved, but the data transmission and storage requirements increase
Solution Approach 1:
The system performs preliminary data acquisition and storage in a database before vehicles actually need the information, creating an advance knowledge base that enables reliable service without requiring continuous real-time data transmission
Solution Approach 2:
Each vehicle receives tailored data records from the database based on its specific route and requirements, rather than transmitting all collected data to every vehicle, thereby reducing unnecessary data volume while maintaining reliability
3Reliability
If mobile communications data are preloaded into vehicle data memory, then service availability is improved, but the data transmission load on the mobile communications network increases
Solution Approach 1:
Data are preloaded into vehicle memory in advance when network conditions are favorable, rather than being transmitted in real-time when needed, thereby ensuring service availability while avoiding energy-intensive transmissions during high-demand periods
Solution Approach 2:
The system dynamically adjusts data transmission based on network conditions and vehicle-specific factors such as route and application requirements, optimizing the balance between service availability and energy consumption
Data Source
AI summary
A method determines a mobile communications network quality for downloading mobile communications data. Data which quantify the mobile communications network quality in a current location of a respective motor vehicle, is continually acquired using acquisition units provided in the motor vehicle. This data is transferred to a database in which it is stored. A route of a select motor vehicle is determined. A data record quantifying the mobile communications network quality along the route, is retrieved from the database. Mobile communications data is downloaded to a memory of the select motor vehicle taking the data record into consideration. A total data record quantifying the mobile communications network quality is determined at predetermined intervals by a data processing device, taking into consideration the data transferred to the database, and the data record quantifying the mobile communications network for the select motor vehicle is obtained from this total data record.