Chattering Line Detection in Voice-Enabled Cable Modems
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Solution Overview
Problem
Voice-enabled cable modems can enter a 'chattering line' state due to faulty telephones or wiring, leading to spurious events and increased network traffic, potentially resulting in false calls and unauthorized long-distance charges, necessitating a remote detection and diagnosis system.
Innovation Solution
A method and system for remotely detecting and diagnosing chattering line conditions in voice-enabled cable modems by monitoring pulse dialing, digit map mismatches, and excessive hook state events, with logic configured to report fault conditions to a management system and perform diagnostic tests, allowing system operators to take corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pulse dialing monitoring and fault detection logic are implemented in the EMTA, then reliability of VoIP service is improved by detecting chattering line conditions, but device complexity increases due to additional monitoring and reporting mechanisms
Solution Approach 1:
The system performs preliminary monitoring of pulse dialing events and hook state changes to detect potential chattering line conditions before they cause false calls or network issues. The EMTA proactively counts pulse events and monitors hook state transitions, reporting fault conditions to the CMS before serious problems occur, thus preventing rather than merely reacting to failures.
Solution Approach 2:
The EMTA implements a feedback mechanism where it continuously monitors pulse dialing events and hook state changes, compares these against expected patterns, and reports fault conditions back to the Call Management System. This closed-loop feedback allows the system to detect and report chattering line conditions, enabling operators to take corrective action while maintaining service reliability.
2Ease of operation
If remote fault detection and diagnosis capabilities are added to the EMTA, then ease of operation is improved by enabling operators to remotely identify chattering line conditions, but device complexity increases due to additional monitoring and reporting functions
Solution Approach 1:
The EMTA performs self-diagnosis by autonomously monitoring its own pulse dialing events and hook state changes, counting these events locally, and automatically reporting fault conditions to the management system without requiring external diagnostic equipment. This self-service capability enables remote fault detection while keeping the additional complexity contained within the EMTA itself.
Solution Approach 2:
The EMTA acts as an intermediary between the customer premises equipment (telephone/wiring) and the Call Management System, monitoring and analyzing pulse dialing events and hook state changes locally before reporting synthesized fault information to the CMS. This intermediary role allows remote operators to detect faults without directly interacting with the customer premises equipment, simplifying their workflow.
3Measurement precision
If the EMTA monitors and reports all pulse dialing events and hook state changes, then measurement precision is improved by accurately detecting chattering line conditions, but loss of information increases due to the generation and processing of numerous spurious events
Solution Approach 1:
The EMTA monitors all pulse dialing events and hook state changes (excessive action) to ensure no fault is missed, but it selectively reports only those events that indicate potential fault conditions such as chattering lines. This partial reporting approach maintains high measurement precision for fault detection while reducing the amount of information that needs to be processed and transmitted through the network.
Solution Approach 2:
The EMTA extracts and reports only the relevant fault information from the stream of monitored events, separating significant fault indicators (such as excessive pulse events or abnormal hook state changes) from normal operational events. This extraction process maintains measurement precision by focusing on critical fault detection while minimizing network traffic overhead by not transmitting every monitored event.
Data Source
AI summary
A system and method is described that allows a system operator to remotely detect and diagnose a voice-enabled cable modem that has entered a chattering line state so that appropriate steps may be taken to avoid or rectify any of the problems that may result from this condition. Logic within the voice-enabled cable modem monitors for pulse dialing activity and/or excessive hook state and/or flash events that may be attributed to a faulty telephone and/or telephone line connected to the voice-enabled cable modem. Responsive to detecting such conditions, the logic within the voice-enabled cable modem reports a fault condition to an external management system via a cable data network.