Network Taxonomy Determination Using Timing and Performance Data
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Solution Overview
Problem
Existing access network technologies face challenges in accurately determining the location of network access devices within the network and identifying anomalies, such as theft or misuse, due to limitations in using timing data alone, which may not provide sufficient information for precise device positioning and anomaly detection.
Innovation Solution
The method involves determining a network taxonomy using a combination of timing data and performance data, including equalization coefficients and linear distortion data, to calculate distances and relative locations of network access devices, allowing for the identification of network anomalies and impairments by comparing determined locations with stored service addresses and historical performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If timing data alone is used to determine device location, then the method is simple, but location precision is insufficient for accurate anomaly detection
Solution Approach 1:
The patent combines timing data with performance data (including equalization coefficients and linear distortion data) to determine device location. This merging of multiple data types resolves the contradiction by achieving high location precision through comprehensive data analysis while maintaining manageable system complexity through integrated processing approaches.
Solution Approach 2:
The patent creates a composite assessment by integrating multiple data sources (timing data, performance data, equalization coefficients, linear distortion data) into a unified location determination framework. This composite approach enables precise anomaly detection by synthesizing information from diverse data types rather than relying on a single data source.
2Measurement precision
If more data types are collected for location determination, then location precision improves, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing into distinct components: timing data processing for basic location estimation, performance data processing for refinement, equalization coefficient analysis for signal quality assessment, and linear distortion analysis for channel characterization. This segmentation allows systematic handling of multiple data types while maintaining processing efficiency through modular approaches.
Solution Approach 2:
The patent employs feedback mechanisms where performance data and signal quality metrics are continuously used to refine location determinations. The system iteratively processes data, using initial results to guide further analysis, thereby managing processing complexity through adaptive feedback loops that focus computational resources on most critical refinements.
3Speed
If timing data is used for anomaly detection, then detection speed is fast, but detection accuracy is insufficient
Solution Approach 1:
The patent performs preliminary processing of timing data to quickly establish initial location estimates and identify potential anomalies. This preliminary action enables fast initial detection, followed by more comprehensive analysis of performance data and signal quality metrics to confirm and refine anomaly identification, thus achieving both speed and accuracy.
Solution Approach 2:
The patent implements a dynamic detection approach where the level of analysis adjusts based on initial findings. Fast timing-based detection triggers deeper performance data analysis only when anomalies are suspected, allowing the system to maintain high detection speed for normal operations while achieving high accuracy when needed through conditional deep-dive analysis.
Data Source
AI summary
A network taxonomy indicating relative locations of network access device within an access network is determined using timing data, performance data such as equalization coefficient data, and/or various other types of data. The timing data may indicate a travel time for a pair of network messages (e.g., network packets) between two network nodes such as two network access devices within the access network. A distance between the two network nodes may then be determined using this time of travel and a propagation velocity of signals transmitted through a transmission media via which the network nodes are connected.