Maximizing the optical network capacity
Most of the digital data transmitted are carried by optical fibres, forming the great part of the national and international communication infrastructure. The information-carrying capacity of these networks has increased vastly over the past decades through the introduction of wavelength division mu...
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Veröffentlicht in: | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2016-03, Vol.374 (2062), p.1-24 |
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container_title | Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences |
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creator | Bayvel, Polina Maher, Robert Xu, Tianhua Liga, Gabriele Shevchenko, Nikita A. Lavery, Domaniç Alvarado, Alex Killey, Robert I. |
description | Most of the digital data transmitted are carried by optical fibres, forming the great part of the national and international communication infrastructure. The information-carrying capacity of these networks has increased vastly over the past decades through the introduction of wavelength division multiplexing, advanced modulation formats, digital signal processing and improved optical fibre and amplifier technology. These developments sparked the communication revolution and the growth of the Internet, and have created an illusion of infinite capacity being available. But as the volume of data continues to increase, is there a limit to the capacity of an optical fibre communication channel? The optical fibre channel is nonlinear, and the intensity-dependent Kerr nonlinearity limit has been suggested as a fundamental limit to optical fibre capacity. Current research is focused on whether this is the case, and on linear and nonlinear techniques, both optical and electronic, to understand, unlock and maximize the capacity of optical communications in the nonlinear regime. This paper describes some of them and discusses future prospects for success in the quest for capacity. |
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subjects | Bit error rate Channel capacity Channel coding Data transmission Nonlinearity Optical communications Signal bandwidth Signal noise Signal transmission Signals |
title | Maximizing the optical network capacity |
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