Adapting Transmitter Power and Modulation Format to Improve Optical Network Performance Utilizing the Gaussian Noise Model of Nonlinear Impairments

Ives, D. J. G.; Bayvel, Polina; Savory, Seb J.

doi:10.1109/jlt.2014.2346582

Cited by 67 publications

(60 citation statements)

References 33 publications

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“…All papers considering the power adaptation and other flexibility parameters use integer linear programming (ILP) algorithms with offline provisioning [11], [12], [13].…”

Section: State Of the Artmentioning

confidence: 99%

Optical Power Control in Translucent Flexible Optical Networks With GMPLS Control Plane

Kanj¹,

Rouzic

Meuric

et al. 2018

J. Opt. Commun. Netw.

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Abstract-The continuously increasing traffic of Internet services (cloud services, video streaming, social networks and recently Internet of things services) is leading to a huge traffic growth in the core optical networks. This traffic evolution is pushing network operators to exploit efficiently their infrastructures in order to postpone, as much as possible, the expensive deployment of new infrastructures. In this respect, the migration from fixed to flex-grid optical networks was triggered in order to efficiently use optical network capacity taking benefits from the improved spectral efficiency of flexible transponders. In our previous work [1], we demonstrated that migrating towards flexible networks while keeping in use existing optical amplifiers will cause power saturation problem over highly loaded links due to the increase in the number of optical channels. To overcome this problem, we proposed in [1] a power adaptation process that consists on converting transmission performance margins into optical power attenuation over optical links. However, the realized work considered only transparent optical network controlled by GMPLS protocol suite. In this paper, we consider the case of translucent optical network where optical regeneration is required and thus the power adaptation process is adapted to such kind of network. New routing algorithm and protocol extensions are proposed to take into account power and regeneration information in the GMPLS control plane of translucent networks.

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“…All papers considering the power adaptation and other flexibility parameters use integer linear programming (ILP) algorithms with offline provisioning [11], [12], [13].…”

Section: State Of the Artmentioning

confidence: 99%

Optical Power Control in Translucent Flexible Optical Networks With GMPLS Control Plane

Kanj¹,

Rouzic

Meuric

et al. 2018

J. Opt. Commun. Netw.

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“…For optical communications networks techniques include minimum cut to estimate throughput upper bounds, Monte-Carlo simulations to route sequential [26], [27] or dynamic demands to find the blocking load and integer linear program (ILP) based multicommodity flow solutions [36].…”

Section: E Calculation Of Network Throughputmentioning

confidence: 99%

“…The k-shortest light paths between each node pair where precalculated, along with their SNR and supported data rate. The ILP allocates transmitters to light paths and wavelengths, to maximize the overall network throughput subject to the constraints imposed by the uniform traffic profile, wavelength continuity and avoidance of wavelength collisions being satisfied [36]. The time required to compute the solution can be reduced by providing the linear program solver with tight upper bounds and for this the minimum cut technique proved useful.…”

Section: E Calculation Of Network Throughputmentioning

confidence: 99%

Throughput Gains From Adaptive Transceivers in Nonlinear Elastic Optical Networks

Ives

Alvarado

Savory

2017

J. Lightwave Technol.

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Abstract-In this paper we link the throughput gains, due to transceiver adaptation, in a point-to-point transmission link to the expected gains in a mesh network. We calculate the maximum network throughput for a given topology as we vary the length scale. We show that the expected gain in network throughput due to transceiver adaptation is equivalent to the gain in a point-to-point link with a length equal to the mean length of the optical paths across the minimum network cut. We also consider upper and lower bounds on the variation of the gain in network throughput due to transceiver adaptation where integer constrained channel bandwidth assignment and quantized adaptations are considered. This bounds the variability of results that can be expected and indicates why some networks can give apparently optimistic or pessimistic results. We confirm the results of previous authors that show finer quantization steps in the adaptive control lead to an increase in throughput since the mean loss of throughput per transceiver is reduced. Finally we consider the likely network advantage of digital nonlinear mitigation and show that a significant trade off occurs between the increase in SNR for larger mitigation bandwidths and the loss of throughput when routing fewer large bandwidth superchannels.

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“…The Kerr effect leads to nonlinear interference noise that can be considered as self-phase modulation, SPM, for nonlinear interference caused solely within the i th signal, cross-phase modulation, XPM, for interference on the i th signal caused by the j th signal and four-wave mixing, FWM, for interference caused by the interaction of multiple signals. For well-spaced signals, such that there is negligible crosstalk of the nonlinear interference noise between signals, and under the assumption that the nonlinear interference noise due to FWM can be ignored as insignificant 2 [18], the nonlinear interference noise, n NLI,i on the i th signal due to SPM and XPM can be written as [15,26,27] …”

Section: Physical Layer Nonlinear Propagation Modelmentioning

confidence: 99%

Routing, modulation, spectrum and launch power assignment to maximize the traffic throughput of a nonlinear optical mesh network

2015

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We investigate the optimization of routing, modulation format adaptation, spectral and launch power assignment as a means of improving the utilization of limited network resources and increasing the network throughput. We consider a transparent optical network operating in the nonlinear transmission regime and using the latest software adapted coherent optical techniques. We separate the problem into one of routing, modulation adaption and channel assignment, followed by channel spectral assignment, and launch power allocation. It is shown, for three test networks, that the launch power allocation and channel spectral assignment can improve the transmission SNR margin over the fixed modulation, fixed power, fully loaded link worst case by approximately 3-4 dB. This increase in SNR margin can be utilized through modulation format adaption to increase the overall network throughput. This paper highlights that increased gains in network throughput can be achieved in nonlinear impaired networks when individual transmitter spectral assignment and launch power are optimized to minimize the nonlinear interference.

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Adapting Transmitter Power and Modulation Format to Improve Optical Network Performance Utilizing the Gaussian Noise Model of Nonlinear Impairments

Cited by 67 publications

References 33 publications

Optical Power Control in Translucent Flexible Optical Networks With GMPLS Control Plane

Optical Power Control in Translucent Flexible Optical Networks With GMPLS Control Plane

Throughput Gains From Adaptive Transceivers in Nonlinear Elastic Optical Networks

Routing, modulation, spectrum and launch power assignment to maximize the traffic throughput of a nonlinear optical mesh network

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