Rogue ONU Diagnostics via Bandwidth Map Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying rogue Optical Network Units (ONUs) in Passive Optical Networks (PONs) are manual, time-consuming, and prone to human error, leading to data collisions and errors due to unmonitored ONU behavior.
Innovation Solution
An automated system that monitors ONU behavior, uses Physical Layer Administration and Maintenance (PLOAM) messaging to control ONU enablement, correlates Bit Error Rate (BER) and alarms with the upstream bandwidth map, and selectively disables ONUs to identify and flag rogue units based on symptom reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual checking of ONUs is performed, then identification of rogue ONUs is possible, but the process is tedious, time-consuming and subject to human error
Solution Approach 1:
The system enables self-diagnosis by having ONUs transmit diagnostic messages containing their own operational status and observed network conditions. The OLT automatically processes these messages to identify rogue ONUs without requiring manual intervention, thus improving reliability while eliminating time loss associated with manual checking
Solution Approach 2:
The system implements continuous feedback mechanisms where ONUs transmit diagnostic information about their operation and the network state back to the OLT. This automated feedback loop enables real-time detection of rogue behavior patterns, improving identification accuracy without the time investment required for manual troubleshooting
2Productivity
If automated monitoring of ONU behavior is implemented, then identification of rogue ONUs is improved, but device complexity increases
Solution Approach 1:
The system leverages the existing OLT's multi-functional capabilities to perform both normal network management and rogue ONU detection. By utilizing the OLT's existing processing and communication resources for diagnostic purposes, the system achieves automated monitoring and identification without adding significant complexity to the overall device architecture
Solution Approach 2:
The system introduces diagnostic messages as intermediary carriers that transmit information between ONUs and the OLT. These standardized diagnostic messages act as intermediaries that enable automated monitoring and analysis, improving diagnostic efficiency while maintaining relatively simple system architecture through the use of existing communication protocols
Data Source
AI summary
A system, method, and computer readable medium for passive optical network rogue optical network unit diagnostics, comprises, detecting an alarm of a network, correlating the detected alarm to a bandwidth map, and selectively disabling an optical network unit upstream to the detected alarm on the bandwidth map for a pre-determined interval.