Optical information capacity processing

Mariia Sorokina; Andrew Ellis; Sergei K. Turitsyn

doi:10.1007/978-3-319-14992-9_11

Optical information capacity processing

Mariia Sorokina^*, Andrew Ellis, Sergei K. Turitsyn

^*Corresponding author for this work

Aston Institute of Photonic Technologies (AiPT)

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

Abstract

The never-stopping increase in demand for information transmission capacity has been met with technological advances in telecommunication systems, such as the implementation of coherent optical systems, advanced multilevel multidimensional modulation formats, fast signal processing, and research into new physical media for signal transmission (e.g. a variety of new types of optical fibers). Since the increase in the signal-to-noise ratio makes fiber communication channels essentially nonlinear (due to the Kerr effect for example), the problem of estimating the Shannon capacity for nonlinear communication channels is not only conceptually interesting, but also practically important. Here we discuss various nonlinear communication channels and review the potential of different optical signal coding, transmission and processing techniques to improve fiber-optic Shannon capacity and to increase the system reach.

Original language	English
Title of host publication	All-optical signal processing
Subtitle of host publication	data communication and storage applications
Editors	Stefan Wabnitz, Benjamin J. Eggleton
Place of Publication	Cham (CH)
Publisher	Springer
Pages	325-354
Number of pages	30
ISBN (Electronic)	978-3-319-14992-9
ISBN (Print)	978-3-319-14991-2
DOIs	https://doi.org/10.1007/978-3-319-14992-9_11
Publication status	Published - 12 Apr 2015

Publication series

Name	Springer series in optical sciences
Publisher	Springer
Volume	194
ISSN (Print)	0342-4111
ISSN (Electronic)	1556-1534

Access to Document

10.1007/978-3-319-14992-9_11

Cite this

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title = "Optical information capacity processing",

abstract = "The never-stopping increase in demand for information transmission capacity has been met with technological advances in telecommunication systems, such as the implementation of coherent optical systems, advanced multilevel multidimensional modulation formats, fast signal processing, and research into new physical media for signal transmission (e.g. a variety of new types of optical fibers). Since the increase in the signal-to-noise ratio makes fiber communication channels essentially nonlinear (due to the Kerr effect for example), the problem of estimating the Shannon capacity for nonlinear communication channels is not only conceptually interesting, but also practically important. Here we discuss various nonlinear communication channels and review the potential of different optical signal coding, transmission and processing techniques to improve fiber-optic Shannon capacity and to increase the system reach.",

author = "Mariia Sorokina and Andrew Ellis and Turitsyn, {Sergei K.}",

year = "2015",

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doi = "10.1007/978-3-319-14992-9_11",

language = "English",

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Optical information capacity processing. / Sorokina, Mariia; Ellis, Andrew ; Turitsyn, Sergei K.
All-optical signal processing: data communication and storage applications. ed. / Stefan Wabnitz; Benjamin J. Eggleton. Cham (CH): Springer, 2015. p. 325-354 (Springer series in optical sciences; Vol. 194).

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Optical information capacity processing

AU - Sorokina, Mariia

AU - Ellis, Andrew

AU - Turitsyn, Sergei K.

PY - 2015/4/12

Y1 - 2015/4/12

N2 - The never-stopping increase in demand for information transmission capacity has been met with technological advances in telecommunication systems, such as the implementation of coherent optical systems, advanced multilevel multidimensional modulation formats, fast signal processing, and research into new physical media for signal transmission (e.g. a variety of new types of optical fibers). Since the increase in the signal-to-noise ratio makes fiber communication channels essentially nonlinear (due to the Kerr effect for example), the problem of estimating the Shannon capacity for nonlinear communication channels is not only conceptually interesting, but also practically important. Here we discuss various nonlinear communication channels and review the potential of different optical signal coding, transmission and processing techniques to improve fiber-optic Shannon capacity and to increase the system reach.

AB - The never-stopping increase in demand for information transmission capacity has been met with technological advances in telecommunication systems, such as the implementation of coherent optical systems, advanced multilevel multidimensional modulation formats, fast signal processing, and research into new physical media for signal transmission (e.g. a variety of new types of optical fibers). Since the increase in the signal-to-noise ratio makes fiber communication channels essentially nonlinear (due to the Kerr effect for example), the problem of estimating the Shannon capacity for nonlinear communication channels is not only conceptually interesting, but also practically important. Here we discuss various nonlinear communication channels and review the potential of different optical signal coding, transmission and processing techniques to improve fiber-optic Shannon capacity and to increase the system reach.

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AN - SCOPUS:84927915782

SN - 978-3-319-14991-2

T3 - Springer series in optical sciences

SP - 325

EP - 354

BT - All-optical signal processing

A2 - Wabnitz, Stefan

A2 - Eggleton, Benjamin J.

PB - Springer

CY - Cham (CH)

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Optical information capacity processing

Abstract

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Signal processing using opto-electronic devices

Temporal and spectral nonlinear pulse shaping methods in optical fibers

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