Wi-Fi Packet Capture With Real-Time Performance Metrics
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Solution Overview
Problem
The Wi-Fi industry faces challenges in efficiently testing throughput and bandwidth during the product and network life cycles, especially with new technologies like Wi-Fi 6 and Wi-Fi 6E, and there is a need for better analysis of device behavior and performance in wireless communication networks.
Innovation Solution
A system that captures packet details using synchronized sniffers, generates real-time and post-test visualizations, and analyzes performance metrics such as MCS, RSSI, and NSS, providing real-time and post-processing capabilities for performance and behavior analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional Wi-Fi testing methods are used, then testing can be performed with existing equipment, but the testing process becomes overwhelming and inefficient for new Wi-Fi technologies
Solution Approach 1:
The patent introduces a sniffer device as an intermediary component that captures and analyzes Wi-Fi packets between the DUT and test equipment. This mediator handles the complex packet capture and analysis tasks, simplifying the overall testing process while maintaining high testing efficiency through automated packet-level monitoring and performance metric extraction
Solution Approach 2:
The patent replaces traditional mechanical/manual testing procedures with automated electronic packet capture and analysis systems. By using software-based packet sniffing and automated performance calculation, the system eliminates manual testing overhead while achieving comprehensive coverage of Wi-Fi performance metrics
2Measurement precision
If detailed packet capture is performed to analyze Wi-Fi performance, then accurate performance metrics are obtained, but real-time analysis becomes computationally intensive
Solution Approach 1:
The patent extracts only the essential performance metrics from captured packets using predefined measurement templates. Instead of analyzing every packet detail, the system selectively extracts relevant fields such as throughput, bandwidth, MCS, RSSI, and NSS, significantly reducing computational load while maintaining measurement precision for key performance indicators
Solution Approach 2:
The patent applies partial analysis by focusing on specific packet fields and metrics that are most relevant to Wi-Fi performance evaluation. The measurement templates define which packet components to analyze, performing sufficient analysis to obtain accurate metrics without the excessive computational burden of complete packet inspection
3Loss of information
If comprehensive performance and behavior metrics are captured, then complete device behavior analysis is achieved, but data processing and visualization complexity increases
Solution Approach 1:
The patent segments performance metrics into two distinct categories: performance metrics (throughput, bandwidth, signal characteristics) and behavior metrics (transmitter settings, receiver settings, operational modes). This segmentation allows independent processing and analysis of each metric type, reducing overall data processing complexity while maintaining complete behavior analysis through the combination of both metric sets
Solution Approach 2:
The patent creates a universal measurement template system that can capture both performance and behavior metrics using the same packet capture infrastructure. The templates provide a multi-functional approach that handles diverse metric types through a unified data collection and processing framework, simplifying the handling of comprehensive metric sets
4Loss of time
If real-time visualization is provided during testing, then immediate performance feedback is available, but system resource consumption increases
Solution Approach 1:
The patent implements periodic updates of performance visualizations during the radiated test, rather than continuous real-time rendering. The system updates metric displays at defined intervals based on packet capture rates and test conditions, providing timely performance feedback while reducing system resource consumption by avoiding excessive visualization rendering operations
Data Source
AI summary
The disclosed technology teaches creating a real time visualization and analysis of Wi-Fi performance and behavior of a DUT in wireless communication with a selected Wi-Fi test device. Also included is performing a radiated test of the DUT using transceiver signals from multiple test antennas impinging on antennas of the DUT, capturing packet details of traffic between the DUT and the selected Wi-Fi test device using a sniffer that is RF coupled to antennas of the selected Wi-Fi test device, and generating a time series summary stream in real time from the packet details captured by the sniffer, including summaries of both performance and behavior metrics. The performance metrics summarize throughput and other measured characteristics of a received signal and the behavior metrics capture transmitter settings that the DUT and test devices choose. Also included is generating scrolling visualizations of selected metrics from the stream as the radiated test proceeds.