Regenerator Allocation in Nonlinear Elastic Optical Networks With Random Data Rates

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

doi:10.1364/ofc.2018.th2a.47

Cited by 6 publications

(5 citation statements)

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“…While some of these schemes were designed for EONs with static traffic [2,6,8], many others were designed to reduce traffic blocking under dynamic traffic environments [36][37][38][39][40]. The use of regenerators and traffic grooming was also explored in many studies [9,14,33,37,38,41]. The results of these studies indicate that spectral efficiency has a direct impact on throughput, power consumption, and cost [9,41].…”

Section: Related Workmentioning

confidence: 99%

“…The use of regenerators and traffic grooming was also explored in many studies [9,14,33,37,38,41]. The results of these studies indicate that spectral efficiency has a direct impact on throughput, power consumption, and cost [9,41]. However, as most of the work did not use an accurate impairment model and instead relied on fixed guard bands and simplified transmission reach models, their results have limited applicability and often lead to higher spectral use [24].…”

Section: Related Workmentioning

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: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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

Munasinghe,

Dharmaweera,

de Alwis

et al. 2024

IET Communications

Self Cite

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“…EON also considers the spectrum contiguity constraint along with the spectrum continuity which means that the allocated FS will be adjacent along the optical path [8]. In [9]- [11], the concepts, roles, and benefits of EON with random data rates are presented. Recently the machine learning technique has been adopted in [12] to extract useful information from the transmission traces in optical networks.…”

Section: Introductionmentioning

confidence: 99%

Link Congestion Aware Proactive Routing for Dynamic Traffic in Elastic Optical Networks

et al. 2021

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Fixed alternate routing is a potential routing scheme for routing and spectrum allocation (RSA) in elastic optical networks (EON) which has less complexity and time consumption compared to adaptive routing scheme. However, adaptive routing scheme efficiently reduces the amount of network bandwidth blocking probabilities (BBPs) which uses traffic engineered paths and tunes according to the current network status. In this paper, an algorithm for routing is proposed for dynamic traffic in EON which works iteratively to arrange the pre-computed fixed alternate routes offline to incorporate link loading. During the offline process, the pre-computed routes are arranged with an objective to reduce link congestion and diverts lightpaths to the under-utilized links. The proposed scheme merges the properties of fixed alternate routing and adaptive routing and is utilized for dynamic traffic in EON. It has been shown through simulation results that the proposed scheme efficiently improves the performance of RSA in EON and reduces the amount of BBPs compared to the fixed alternate routing and an existing constrained-lower-indexed-block (CLIB) based adaptive routing algorithm. The proposed LCA greatly reduces congestion over all links during dynamic network operation and lowers congestion spikes over some links which occues in the existing alternate routing scheme in different network scenarios.

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“…Researchers have recently proposed a statistical network assignment process (SNAP) algorithm based on Monte Carlo simulations to estimate the PLIs of random bandwidth demands [6,7]. Random data-rate demands are used in simulations to obtain expected network states and then calculate the average noise by utilizing the GN model over many trials.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Spectrum Gaussian Noise Estimate for Random Bandwidth Traffic

Agrell

Pearce³

2019

45th European Conference on Optical Communication (ECOC 2019)

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Regenerator Allocation in Nonlinear Elastic Optical Networks With Random Data Rates

Abstract: We optimize the regenerator allocation in nonlinear elastic networks whose traffic demands have random data rates. Compared with previous regenerator allocation algorithms, our method achieves the same blocking probability with 11% fewer regenerator sites.

Cited by 6 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

Link Congestion Aware Proactive Routing for Dynamic Traffic in Elastic Optical Networks

Probabilistic Spectrum Gaussian Noise Estimate for Random Bandwidth Traffic

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