Automatic Noise Profile Generation for Communication Channels
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Solution Overview
Problem
Conventional techniques are unable to identify the source of noise in communication channels, leading to inefficient methods for improving network performance, as users often rely on guessing and trial-and-error to mitigate noise interference from various devices and sources.
Innovation Solution
A system for automatic noise profile generation, which includes a customer gateway, noise information nodes, a noise profile database, and a noise profile generator that extracts noise information, matches it with existing profiles, and identifies noise sources by generating new profiles based on extracted characteristics, allowing for targeted noise source identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional noise detection techniques are used, then noise can be detected and avoided, but the source of the noise cannot be identified
Solution Approach 1:
The patent segments the noise detection process into multiple components: noise information nodes are deployed at different locations (customer premises, central office) to independently collect noise characteristics, which are then aggregated and analyzed to identify the specific noise source. This segmentation enables precise localization of noise sources that conventional single-point detection cannot achieve.
Solution Approach 2:
The patent introduces noise information nodes as intermediary devices between the communication channel and the analysis system. These nodes extract and characterize noise properties, serving as mediators that bridge the gap between raw noise signals and actionable identification data, thereby enabling source identification without requiring direct access to potential noise sources.
2Reliability
If users manually relocate or remove devices to improve network performance, then noise may be reduced, but the process relies on guessing and trial-and-error
Solution Approach 1:
The system performs preliminary noise characterization and source identification automatically before any user action is required. By pre-identifying the specific noise source through automated analysis of noise profiles and characteristics, the system eliminates the need for users to engage in trial-and-error device relocation, directly providing actionable information for immediate corrective action.
Solution Approach 2:
The patent implements a feedback mechanism where noise information nodes continuously monitor and characterize noise, providing real-time feedback to both users and the system. This feedback loop enables automatic identification of noise sources and informs users of specific actions needed, replacing guesswork with data-driven recommendations that improve reliability and reduce troubleshooting time.
3Measurement precision
If users remove all suspected devices to identify noise sources, then the noise source may be identified, but this method is impractical and disruptive
Solution Approach 1:
The system performs self-service noise identification by automatically collecting, analyzing, and interpreting noise characteristics without requiring user intervention or device manipulation. The noise information nodes autonomously characterize noise sources and generate identification results, eliminating the need for users to remove or manipulate devices while maintaining high identification precision.
Solution Approach 2:
The patent replaces the mechanical approach of physically removing or relocating devices with an automated electronic analysis system. Instead of manually testing configurations by moving devices, the system uses electronic noise characterization and profile matching to identify sources, substituting physical manipulation with computational analysis for improved ease of operation.
Data Source
AI summary
A system for noise profile generation includes a customer gateway communicatively coupled to one or more end devices over a communication medium, at least one noise information node communicatively coupled to the customer gateway and programmed to extract noise information present on a communication path from the customer gateway to at least one of the one or more end devices, a noise profile database storing one or more noise profiles, and a noise profile generator. The noise profile generator includes at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to retrieve the extracted noise information associated with the communication path, determine whether the at least one noise characteristic of the extracted noise information matches with one or more noise profiles and identify at least one noise source on the communication path.