Invention Grant
- Patent Title: Learning-based method and system for configuring an optical time-domain reflectometer in a gigabit passive optical network
-
Application No.: US17282068Application Date: 2018-12-12
-
Publication No.: US11750282B2Publication Date: 2023-09-05
- Inventor: Pramod Jhaldiyal , Chandan Dung
- Applicant: Centre for Development of Telematics (C-DOT)
- Applicant Address: IN New Delhi
- Assignee: Centre for Development of Telematics (C-DOT)
- Current Assignee: Centre for Development of Telematics (C-DOT)
- Current Assignee Address: IN New Delhi
- Agency: Norton Rose Fulbright US LLP
- Priority: IN 1811037838 2018.10.05
- International Application: PCT/IN2018/050833 2018.12.12
- International Announcement: WO2020/070752A 2020.04.09
- Date entered country: 2021-04-01
- Main IPC: H04B10/07
- IPC: H04B10/07 ; H04B10/071 ; H04B10/077

Abstract:
The present disclosure provides a method and system for configuring an optical time domain reflectometer (OTDR) in a gigabit passive optical networks (PON), characterized by the steps of: collecting network data of the network to be scanned by switch controller to characterize said network; collecting data from various optical network terminals (ONTs) of the gigabit passive optical networks (GPON) by an OTDR and the Switch Controller to form a training database, the training data is used to train the method; optimizing the parameters of the optical time domain reflectometer (OTDR) based on the network data and the training database by a processor provided on the switching controller using machine learning. For point-to-multipoint (PMP) networks such as PON, the present method and system provides optimal set of parameters to configure OTDR before performing trace.
Public/Granted literature
Information query