Regenerator Site Predeployment in Nonlinear Dynamic Flexible-Grid Networks

Li, Yan; Xu, Yuxin; Brandt-Pearce, Malte; Dharmaweera, Nishan; Agrell, Erik

doi:10.1109/ecoc.2017.8345997

Cited by 3 publications

(3 citation statements)

References 6 publications

(15 reference statements)

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“…Here, PLIs were calculated using the Gaussian noise (GN) model-based PLI model that was first presented in reference [53] and was then adopted in many other studies [10,11,54,55]. This noise model accurately accounts for linear and nonlinear impairments that are produced by amplified spontaneous emission (ASE), self-channel interference (SCI), and crosschannel interference (XCI).…”

Section: Noise Model and Pli Calculationmentioning

confidence: 99%

“…However, due to inherent inefficiencies in bandwidth allocation, traditional "fixed grid" ONs (i.e. IP-over-wavelength division multiplexing (WDM) networks) may soon exhaust the available spectrum resources in optical networks [7,[10][11][12]. Hence, elastic optical networks (EONs) are widely accepted to be the key enabling technology of future high-capacity and high-bandwidth internet [1,7,[13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Munasinghe,

Dharmaweera,

de Alwis

et al. 2024

IET Communications

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Today, elastic optical networks (EONs) are required to accommodate traffic with different service priorities. For example, mission‐critical applications such as industrial internet, smart grids, and remote surgery require an ultra‐reliable low‐latency communication system. The novel impairment‐aware resource allocation scheme proposed here prioritises traffic. It satisfies the quality and latency requirements of mission‐critical traffic while causing minimum disruptions to other forms of low‐priority traffic connections. The results obtained for 6‐node and 14‐node networks under various traffic distribution environments indicate that the proposed algorithm achieves higher spectral efficiency, reduces spectrum fragmentation, and causes minimal disruptions over the benchmark algorithm.

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Section: Noise Model and Pli Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Munasinghe,

Dharmaweera,

de Alwis

et al. 2024

IET Communications

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show abstract

“…In this section, we describe in detail the SNAP algorithm. SNAP has been introduced in [24] and used in [7,[26][27][28][29][30][31][32][33]]. An extensive discussion on the application of SNAP can be also found in [34].…”

Section: Snap: Statistical Network Assessment Processmentioning

confidence: 99%

Statistical Assessment of Open Optical Networks

et al. 2019

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In order to cope with the increase of the final user traffic, operators and vendors are pushing towards physical layer aware networking as a way to maximize the network capacity. To this aim, optical networks are becoming more and more open by exposing physical parameters enabling fast and reliable estimation of the lightpath quality of transmission. This comes in handy not only from the point of view of the planning and managing of the optical paths but also on a more general picture of the whole optical network performance. In this work, the Statistical Network Assessment Process (SNAP) is presented. SNAP is an algorithm allowing for estimating different network metrics such as blocking probability or link saturation, by generating traffic requests on a graph abstraction of the physical layer. Being aware of the physical layer parameters and transceiver technologies enables assessing their impact on high level network figures of merit. Together with a detailed description of the algorithm, we present a comprehensive review of several results on the networking impact of multirate transceivers, flex-grid spectral allocation as a means to finely exploit lightpath capacity and of different Space Division Multiplexing (SDM) solutions.

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Joint Minimization of Spectrum and Power in Impairment-Aware Elastic Optical Networks

et al. 2021

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Flexible-grid elastic optical networks (EONs) are widely considered as the future of next generation optical transport networks. Depleting spectral resources and increasing power consumption are two critical bottlenecks of EONs. In this paper, we propose a novel impairment-aware resource allocation scheme that jointly minimizes bandwidth waste and power consumption of EONs. The proposed scheme is presented in the form of an analytical optimization for small-sized networks. A low-complexity heuristic is then proposed for large networks. Numerical results show that by appropriately assigning the route, modulation format, and carrier frequency to each connection request, the proposed scheme significantly increases spectral efficiency and reduces power consumption in networks that handle varying traffic volumes.

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Regenerator Site Predeployment in Nonlinear Dynamic Flexible-Grid Networks

Abstract: A regenerator predeployment algorithm is proposed in dynamic translucent flexible-grid networks based on the GN model. The randomness of traffic bandwidth requests is exploited to allocate regenerators efficiently. Our method accommodates 30% more demands than benchmark methods.

Cited by 3 publications

References 6 publications

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Statistical Assessment of Open Optical Networks

Joint Minimization of Spectrum and Power in Impairment-Aware Elastic Optical Networks

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