2020
DOI: 10.1007/978-3-030-16250-4_9
|View full text |Cite
|
Sign up to set email alerts
|

Fiber Nonlinearity and Optical System Performance

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 16 publications
(10 citation statements)
references
References 193 publications
0
9
0
Order By: Relevance
“…G OOD channel models are key to establish the mathematical framework for a better understanding of nonlinear phenomena and to effectively design fibre-optic communication systems [1]. The nonlinear Schrödinger equation (NLSE), which mathematically describes the propagation of signals in an optical fibre, is the origin for the derivation of most analytical models of nonlinear interference (NLI).…”
Section: Introductionmentioning
confidence: 99%
“…G OOD channel models are key to establish the mathematical framework for a better understanding of nonlinear phenomena and to effectively design fibre-optic communication systems [1]. The nonlinear Schrödinger equation (NLSE), which mathematically describes the propagation of signals in an optical fibre, is the origin for the derivation of most analytical models of nonlinear interference (NLI).…”
Section: Introductionmentioning
confidence: 99%
“…E FFECTIVE channel models are fundamental in the design and performance assessment of fibre-optic transmission systems [1]. In coherent systems utilizing dual polarisation signals, most analytical models are underpinned by the Manakov equation (ME) [2].…”
Section: Introductionmentioning
confidence: 99%
“…In coherent systems utilizing dual polarisation signals, most analytical models are underpinned by the Manakov equation (ME) [2]. Since the ME does not have a closedform solution, it is conventionally approximated using diverse techniques [1,Ch. 9].…”
Section: Introductionmentioning
confidence: 99%
“…These models lead to semi-analytical solutions of the NLIN and in some contexts, they offer an acceptable alternative to SSFTM simulations. While the EGN model provides a very good estimate of the NLIN variance, it does not account for the correlation properties of the NLIN and for this reason, it is primarily used for assessing the performance of systems in which adaptive equalization is absent [25][26][27]. The time varying ISI model, on the other hand, accounts for temporal correlation properties of the NLIN and therefore it is suitable for addressing scenarios including fast adaptive nonlinear equalization [27][28].…”
Section: Introductionmentioning
confidence: 99%