Experimental Demonstration of Linear Inter-Channel Interference Estimation Based on Neural Networks
Author:
Affiliation:
1. Politecnico di Torino, Torino, Italy
2. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
3. PhotonLab, LINKS, Torino, Italy
4. CISCO Photonics, Vimercate, Italy
Funder
Italian National Recovery and Resilience Plan
CISCO Sponsored Research Agreement
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/4563994/10050262/10076257.pdf?arnumber=10076257
Reference15 articles.
1. Spectral Spacing Estimation in Gridless Nyquist-WDM Systems using Local Binary Patterns
2. Overlapping estimation based on DBSCAN algorithm in Nyquist-WDM systems;torres;Proc Signal Process Photon Commun,0
3. An empirical survey of data augmentation for time series classification with neural networks
4. Inter-Channel interference estimation based on IQ histograms including machine learning;pérez;Proc Signal Process Photon Commun,0
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1. DSP-based inter-channel interference monitoring in flexible wavelength-routed networks;Journal of Optical Communications and Networking;2024-05-31
2. Efficient Inter-Channel Interference Monitoring using DSP in Standard Coherent Receivers;Optical Fiber Communication Conference (OFC) 2024;2024
3. Estimation of Spectral Spacing in Gridless Nyquist-WDM systems using Fuzzy Clustering and Deep Learning;2023 IEEE Photonics Conference (IPC);2023-11-12
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