Synthetic Network Throughput Expansion via Sensor Correlation
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Solution Overview
Problem
Existing methods for calculating network throughput in mobile networks are inadequate as they fail to accurately predict conditions inside buildings and structures, lack data on UE device locations, and are resource-intensive, making them unsuitable for frequent measurements.
Innovation Solution
A method that processes sensor data records from mobile network devices using a model of correlations between network conditions and throughput to calculate synthetic network throughput data, leveraging low-impact measurements like radio band, signal quality, and latency, which can be collected efficiently and used to expand coverage without excessive resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-world survey of network throughput is conducted at locations across the deployment area, then measurement precision is improved, but loss of time and productivity deteriorate due to expensive and time-consuming data collection
Solution Approach 1:
The patent applies preliminary action by pre-collecting and storing network condition measurements (signal strength, latency, packet loss, radio band information) from mobile network devices in a database before throughput calculation is needed. This pre-collection of data eliminates the need for time-consuming real-world surveys at the time of analysis, while still enabling accurate synthetic throughput calculation when required.
2Measurement precision
If direct network throughput measurement is performed by mobile network devices, then measurement precision is improved, but use of energy and device complexity worsen due to high resource consumption
Solution Approach 1:
The patent extracts and separates the heavy computational task of throughput calculation from the mobile network devices. Instead of requiring devices to perform resource-intensive direct throughput measurements, the system extracts relevant network condition measurements (signal strength, latency, packet loss) that devices can collect with minimal resource usage, and performs the complex throughput calculation centrally using pre-collected data from multiple devices.
Solution Approach 2:
The patent uses synthetic throughput calculation as a copy or approximation of direct throughput measurement. By combining multiple network condition measurements (signal strength, latency, packet loss, radio band) through a mathematical model, the system creates a synthetic representation of actual throughput that avoids the resource-intensive direct measurement process while maintaining measurement precision.
3Productivity
If theoretical network throughput calculation is performed from cell site locations, then productivity is improved by avoiding field surveys, but measurement precision deteriorates due to lack of local condition data
Solution Approach 1:
The patent merges theoretical calculation advantages with real-world measurement advantages by combining pre-collected network condition data from multiple mobile devices with theoretical throughput models. This integration allows the system to maintain the productivity benefits of remote calculation while incorporating actual local conditions (building structures, environmental factors, device locations) that improve measurement precision for synthetic throughput calculation.
Data Source
AI summary
A computer-implemented method for expanding network throughput data coverage for an MNO network in a region, the method comprising: retrieving a plurality of sensor data records on the MNO network collected from a plurality of mobile network devices, wherein each sensor data record comprises measurement location data and one or more network condition measurements; and processing the plurality of sensor data records, using a model of correlations between network conditions and throughput, to calculate synthetic network throughput data at locations in the region.