Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems

Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-over-fiber networks. The effect of NLPN in the constellation diagram consists of a shape distortion of symbols that increases the symbol error rate due to symbol overlapping when using a conventional de...

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Bibliographic Details
Main Author:	Bogoni, A. (auth)
Other Authors:	Fern&#225, o (auth), ndez, E. (auth), C&#225, a (auth), rdenas Soto, A. (auth), Guerrero Gonzalez, N. (auth), Serafino, G. (auth), Ghelfi, P. (auth)
Format:	Electronic Book Chapter
Language:	English
Published:	InTechOpen 2020
Subjects:	Computing & information technology nonlinear phase noise, clustering, Voronoi, decision boundary
Online Access:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems by Bogoni, A.

Published 2020

DOAB: download the publication
DOAB: description of the publication

Electronic Book Chapter

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems by Bogoni, A.

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