Objective

2

The uplink Time Division Multiplexing Access (TDMA) mode used by the mainstream Passive Optical Network (PON) technology and the intensity modulation direct detection mode used by the optical module at the Optical Line Terminal (OLT) side determine that the rogue Optical Network Unit (ONU) problem is an inherent defect of the PON technology. As a common problem in the PON

the rogue ONU has various causes and symptoms

which is difficult to locate and protect. To ensure the stable operation of the PON

it is necessary to find positioning protection methods that are applicable and have high processing efficiency.

Methods

2

After analyzing the causes and impacts of rogue ONU faults and comparing the use cases

pros

and cons of traditional positioning techniques

this document designates feature matching as the core rogue ONU localization and protection method. It implements this by correlating PON link-associated external features (e.g.

alarms

topology

status

and performance data) with preset policies. By conducting multi-layer data statistics and event comparison from the network down to network elements

we have found a fast positioning route for rogue ONUs. Meanwhile

this document discusses the subsequent research orientations for the positioning and protection of rogue ONUs with reference to big data analysis.

Results

2

Based on the analysis

the traditional method has various limitations and efficiency problems

and the comprehensive positioning protection effect is poor. Based on the data analysis comparison of network events

the feature determination method is applicable to various rogue ONU scenarios

and can rapidly locate current faults

historical faults and prevent potential faults. In addition

the positioning duration and protection effect of the feature determination method can meet expectations.

Conclusion

2

With the changes of the network

technical upgrade

and service scenario expansion

the rogue ONU faults change dynamically. The corresponding positioning and protection measures need to keep up with the times. Based on the comprehensive analysis of various events and characteristics of NEs and networks

adaptation to the above changes can be achieved. In addition

with the optimization and iteration of positioning algorithms as a supplementary measure

it realizes the dynamic adaptation and efficient positioning of rogue ONUs

and ultimately guarantees the stable operation of the PON.