Optical Ethernet—Flexible Optical Metro Networks

Lautenschlaeger, Wolfram; Benzaoui, Nihel; Buchali, Fred; Dembeck, Lars; Dischler, Roman; Franz, B.; Gebhard, Ulrich; Milbrandt, Jens; Pointurier, Yvan; Roesener, Detlef; Schmalen, Laurent; Leven, A.

doi:10.1109/jlt.2017.2662204

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…Considering the limited number of transceivers per reconfigurable optical add-drop multiplexer (ROADM) [1] and data processing ability per regeneration node [23], the number of circuits per regeneration node is limited.…”

Section: Regeneration Nodes Deployment For Ran-dom Bandwidth Trafficmentioning

confidence: 99%

“…For long-haul optical networks such as the NSF-24 network, regeneration resources are required to maintain error-free data transmission. OEO processing ability and the parameters of the ROADMs at the regeneration nodes limit the number of regeneration circuits per node [6,23,26,27]. Regeneration nodes and circuits are scarce resources and need to be efficiently deployed.…”

Section: F Regeneration Resource Deploymentmentioning

confidence: 99%

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Cross-layer static resource provisioning for dynamic traffic in flexible grid optical networks

Agrell

Brandt-Pearce

2021

J. Opt. Commun. Netw.

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Flexible grid networks need rigorous resource planning to avoid network over-dimensioning and resource over-provisioning. The network must provision the hardware and spectrum resources statically, even for dynamic random bandwidth demands, due to the infrastructure of flexible grid networks, hardware limitations, and the reconfiguration speed of the control plane. We propose a flexible-online-offline probabilistic (FOOP) algorithm for the static spectrum assignment of random bandwidth demands. The FOOP algorithm considers the probabilistic nature of random bandwidth demands and balances hardware and control plane pressures with spectrum assignment efficiency. The FOOP algorithm uses the probabilistic spectrum Gaussian noise (PSGN) model to estimate the physical-layer impairment (PLIs) for random bandwidth traffic. Compared to a benchmark spectrum assignment algorithm and a widely applied PLI estimation model, the proposed FOOP algorithm using the PSGN model saves up to 49% of network resources.

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Section: Regeneration Nodes Deployment For Ran-dom Bandwidth Trafficmentioning

confidence: 99%

Section: F Regeneration Resource Deploymentmentioning

confidence: 99%

Cross-layer static resource provisioning for dynamic traffic in flexible grid optical networks

Agrell

Brandt-Pearce

2021

J. Opt. Commun. Netw.

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“…The optical fiber bandwidth B is divided into F equal-bandwidth frequency slots with a granularity of W. Topology links consist of one amplifier at the input and another at the output in order to manage the power budget and enable a cascade of several links along a light-path. Fortunately, fiber links in MEONs are sufficiently short to enable optical transmission without intermediate amplification and/or regeneration [4], [20]. As shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

“…Such flexible scheduling deserves a growing focus and shows more promises than ever before due to the unprecedented growth and increasing dynamism of the traffic in metro networks [1], [6]. The growing acceptance of software-defined networking (SDN) and network function virtualization concepts has paved the way for the development of metro elastic optical networks (MEONs) by offering new high value services that operators can propose [4], [6], [7]. Optical network slicing, whereby a sub-network or a lightpath is customized and temporarily allocated to a given subscriber, securely and separately from the other subscribers, is one of these services.…”

mentioning

confidence: 99%

“…Optical network slicing, whereby a sub-network or a lightpath is customized and temporarily allocated to a given subscriber, securely and separately from the other subscribers, is one of these services. There is little doubt that the flexible optical layer under development today will do its share of the work, so that optical network slicing and more generally transportas-a-service (TaaS) becomes a reality in MEONs [1], [4].…”

mentioning

confidence: 99%

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Dynamic Resource Allocation in Metro Elastic Optical Networks Using Lyapunov Drift Optimization

Hadi¹,

Pakravan

Agrell³

2019

J. Opt. Commun. Netw.

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Consistent growth in the volume and dynamic behavior of traffic mandates new requirements for fast and adaptive resource allocation in metro networks. We propose a dynamic resource allocation technique for adaptive minimization of spectrum usage in metro elastic optical networks. We consider optical transmission as a service specified by its bandwidth profile parameters, which are minimum, average, and maximum required transmission rates. To consider random traffic events, we use a stochastic optimization technique to develop a novel formulation for dynamic resource allocation in which service level specifications and network stability constraints are addressed. Next, we employ the elegant theory of Lyapunov optimization to solve the stochastic optimization problem and derive a fast integer linear program, which is periodically solved to create an adaptation between available resources and dynamic network state. To quantize the performance of the proposed technique, we report its spectral efficiency as a function of peak to average traffic ratio and Lyapunov penalty coefficient. Simulation results show that the dynamic resource allocation procedure can improve spectral efficiency by a factor of 3.3 for a peak to average traffic ratio of 1.37 and a Lyapunov penalty coefficient of 10 3 in comparison with fixed network planning. There is also a trade-off between transmission delay and spectrum utilization in the proposed technique, which can be adjusted by a Lyapunov penalty coefficient.

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Forward Error Correction for Optical Transponders

Amat

Schmalen

2020

Springer Handbooks

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Optical Ethernet—Flexible Optical Metro Networks

Cited by 19 publications

References 18 publications

Cross-layer static resource provisioning for dynamic traffic in flexible grid optical networks

Cross-layer static resource provisioning for dynamic traffic in flexible grid optical networks

Dynamic Resource Allocation in Metro Elastic Optical Networks Using Lyapunov Drift Optimization

Forward Error Correction for Optical Transponders

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