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Neural-network-based MDG and Optical SNR Estimation in SDM Transmission

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Author(s):
Ospina, Ruby S. B. ; van den Hout, Menno ; van der Heide, Sjoerd ; Okonkwo, Chigo ; Mello, Darli A. A. ; IEEE
Total Authors: 6
Document type: Journal article
Source: 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC); v. N/A, p. 3-pg., 2021-01-01.
Abstract

We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show that the proposed neural-network-based solution estimates MDG and SNR with high accuracy and low complexity from features extracted after DSP. (c) 2021 The Author(s) (AU)

FAPESP's process: 15/24517-8 - Photonics for next generation internet
Grantee:Hugo Enrique Hernández Figueroa
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/25414-6 - Channel Estimation in Optical Systems with Space-Division Multiplexing
Grantee:Ruby Stella Bravo Ospina
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 17/25537-8 - Distance-adaptive modulation for space-division multiplexed optical systems
Grantee:Ruby Stella Bravo Ospina
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 15/24341-7 - New strategies to confront with the threat of capacity exhaustion
Grantee:Helio Waldman
Support Opportunities: Research Projects - Thematic Grants