Monitoring and Link Parameter Estimation

Event
  • Session
  • 08:3 - 08:3
  • Duration: 1 hr 43 mins
  • Publication date: 16 Oct 2023
  • Location: Alsh, SEC, Glasgow, United Kingdom
  • Part of event ECOC 2023

About the session

Tu.A.2.1

Experimental Investigation of Physics- and ML-based QoT Estimation for WDM Systems

Md Saifuddin Faruk1, Mariane Mansour1, Charles Laperle2, Maurice O'Sullivan2, Seb J. Savory1 1 University of Cambridge, Cambridge, United Kingdom. 2 Ciena Corporation, Ottawa, Canada

Tu.A.2.6

A Generalized Method for Fiber-Longitudinal Power Profile Estimation

Takeo Sasai, Yoshiaki Sone, Etsushi Yamazaki, Masanori Nakamura, Yoshiaki Kisaka

NTT, Yokosuka, Japan

Tu.A.2.2

Demonstration of Longitudinal Power Profile Estimation using Commercial Transceivers and its Practical Consideration

Junho Chang, Choloong Hahn, Xuefeng Tang, Tianyu Zhao, Wing Chau Ng, Zhiping Jiang

Huawei Technologies, Ottawa, Canada

Tu.A.2.3

Fibre Type Identification based on Power Profile Estimation

Motohiko Eto, Kazuyuki Tajima, Kyousuke Sone, Setsuo Yoshida, Ryu Shinzaki, Shoichiro Oda, Takeshi Hoshida

Fujitsu Limited, Kawasaki, Japan

Tu.A.2.4

Multi-Channel Longitudinal Power Profile Estimation

Inwoong Kim1, Olga Vassilieva1, Ryu Shinzaki2, Motohiko Eto2, Shoichiro Oda2, Paparao Palacharla1 1 Fujitsu Network Communications, Inc., Richardson, USA. 2 Fujitsu Limited, Kawasaki, Japan

Tu.A.2.5

Dynamic Channel Modelling for Multimode Fibre Links in All Linear Coupling Regimes

Rekha Yadav, Fabio Barbosa, Filipe Ferreira

University College London, London, United Kingdom

Keywords:

Channels