Wireless Gateway Throughput Estimation Using RF Telemetry Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining throughput of wireless gateway devices are intrusive and network-taxing, typically performed during off-peak hours, providing an inaccurate baseline for troubleshooting during peak hours.
Innovation Solution
Collect RF telemetry data from wireless gateway devices over time to estimate throughput, maintaining profiles for comparison during peak hours, and using these estimates for troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speed tests are performed to measure throughput, then throughput data can be collected, but the process is intrusive and network-taxing
Solution Approach 1:
The patent introduces RF telemetry data as an intermediary parameter to estimate throughput without performing actual speed tests. Instead of directly measuring throughput through intrusive speed tests, the system uses intermediate RF metrics (signal strength, signal quality, interference levels) to indirectly determine throughput, thereby avoiding network traffic impact while still obtaining useful throughput information
Solution Approach 2:
The patent replaces the mechanical/network-based speed test measurement system with a signal-based estimation system. Instead of using actual data transmission to measure throughput (mechanical/network approach), the system substitutes this with RF signal analysis that calculates estimated throughput from telemetry data, eliminating the need for intrusive network traffic generation
2Object-affected harmful factors
If speed tests are performed during off-peak hours to collect baseline data, then network traffic impact is reduced, but the baseline does not represent peak hour conditions
Solution Approach 1:
The patent collects and stores RF telemetry data continuously throughout the day, including during off-peak hours, as preliminary data. This preliminary telemetry data is then used during peak hours to estimate throughput without performing intrusive speed tests, allowing the system to have baseline information available when needed while maintaining accuracy for peak hour conditions
Solution Approach 2:
The patent implements a dynamic approach where the system continuously updates RF telemetry data and recalculates throughput estimates based on current conditions. Rather than relying on static baselines from off-peak hours, the system dynamically adjusts throughput estimates using real-time or near-real-time RF measurements, ensuring accuracy reflects actual peak hour network conditions
3Measurement precision
If intrusive speed tests are performed during peak hours to get accurate baseline data, then throughput measurement accuracy improves, but network traffic impact increases
Solution Approach 1:
The patent uses RF telemetry data as an intermediary to obtain accurate throughput measurements during peak hours without impacting network capacity. The telemetry metrics serve as proxies that correlate with throughput, allowing customer support to make accurate assessments while avoiding the network traffic burden of traditional speed tests
Solution Approach 2:
The system enables self-service troubleshooting by providing customer support personnel with automated throughput estimates derived from RF telemetry data. This eliminates the need for support personnel to manually initiate intrusive speed tests during peak hours, as the system automatically provides accurate throughput information through analysis of existing telemetry data
Data Source
AI summary
A method for throughput estimation and troubleshooting includes collecting RF parameters from wireless gateway devices. The method additionally includes estimating a throughput of multiple wireless gateway devices based on collected RF parameters and maintaining a profile including RF parameters and estimated throughput over time. The method further includes troubleshooting for selected wireless gateway devices based on the throughput estimate.