Routing, modulation level, and spectrum assignment in elastic optical networks. A route-permutation based genetic algorithms

Paredes, Melisa María Rosa Villamayor; Benítez, Luis Víctor Maidana; Colbes, José; Pinto-Roa, Diego P.

doi:10.1016/j.osn.2022.100710

Cited by 10 publications

(2 citation statements)

References 16 publications

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“…This approach simultaneously considers the routing and permutation of requests to explore a more significant portion of the RMLSA solution set than current metaheuristics. Although these approaches offer highly efficient solutions, their computational cost is high, challenging their feasibility in a real operating environment [24]. The RMLSA strategy enables an increase in simultaneous requests, but the economic costs of adding wavelengths constrain its potential.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Spectrum Assignment in Passive Optical Networks Based on Optical Integrated Microring Resonators Using Machine Learning and a Routing, Modulation Level, and Spectrum Assignment Method

Calvo-Salcedo,

González,

Jaramillo-Villegas

2023

Applied Sciences

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The rising demand for bandwidth in optical communication networks has led to the need for more efficient solutions for spectrum allocation. This article presents a solution to enhance the capacity and efficiency of passive optical networks (PON) using optical microring resonators and dynamic spectrum allocation. The solution relies on wavelength division multiplexing (WDM). It proposes using a support vector machine (SVM) and a Routing, Modulation Level, and Spectrum Assignment (RMLSA) method to manage spectrum allocation based on the bandwidth and distance of multiple requests. The network employs a pulse shaper to physically allocate the spectrum, allowing for the separation of the spectrum generated by the microring resonators into different wavelengths or wavelength ranges (super-channel). Additionally, the SVM and RMLSA algorithms regulate the pulse shaper to execute the allocation. This photonic network achieves improved spectrum utilization and reduces the network blocking probability. Our proposal shows that we successfully addressed 1090 requests with a zero blocking probability, accounting for 81% of the total requests. These request scenarios can simultaneously accommodate up to 200 requests, with a maximum bandwidth of 31 THz. This highlights the efficacy of our approach in efficiently managing requests with substantial processing capacity.

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Section: Introductionmentioning

confidence: 99%

Dynamic Spectrum Assignment in Passive Optical Networks Based on Optical Integrated Microring Resonators Using Machine Learning and a Routing, Modulation Level, and Spectrum Assignment Method

Calvo-Salcedo,

González,

Jaramillo-Villegas

2023

Applied Sciences

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“…Let us consider an example taken from [43], where an EON topology, the modulation format, transmission reach, modulation rate, and the set of requests are given in Figure 1a-d, respectively. This example uses 8 and 16 QAM (Quadrature Amplitude Modulation) as modulation formats, QPSK (Quadrature Phase Shift Keying), and BPSK (Binary Phase Shift Keying) shown in Figure 1b,c with their modulation rate (R) and transmission reach (T) in Kilometers (Km).…”

mentioning

confidence: 99%

Routing, Modulation Level, and Spectrum Assignment in Elastic Optical Networks—A Serial Stage Approach with Multiple Sub-Sets of Requests Based on Integer Linear Programming

Benítez

Paredes

Colbes

et al. 2023

MCA

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This paper addresses serialized approaches of the routing, modulation level, and spectrum assignment (RMLSA) problem in elastic optical networks, using multiple sequential sub-sets of requests, under Integer Linear Programming (ILP). The literature has reported two-stage serial optimization methods referred to as RML+SA, which retain computational efficiency when the problem grows, compared to the classical one-stage RMLSA optimization approach. However, there still remain numerous issues in terms of the spectrum used that can be improved when compared to the RMLSA solution. Consequently, this paper proposes RML+SA solutions considering multiple sequential sub-sets of requests, split traffic flow, as well as path-oriented and link-oriented routing models. Simulation results on different test scenarios determine that: (a) the multiple sequential sub-sets of request-based models improve computation time without worsening the spectrum usage when compared to just one set of requests optimization approaches, (b) divisible traffic flow approaches show promise in cases where the number of request sub-sets is low compared to the non-divisible counterpart, and (c) path-oriented routing succeeds in improving the used spectrum by increasing the number of candidate routes compared to link-oriented routing.

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Future Generation Elastic Optical Networks: A State-of-Art Review

Sudhakar,

Khan,

Batham

2024

Lecture Notes in Networks and Systems

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Routing, modulation level, and spectrum assignment in elastic optical networks. A route-permutation based genetic algorithms

Cited by 10 publications

References 16 publications

Dynamic Spectrum Assignment in Passive Optical Networks Based on Optical Integrated Microring Resonators Using Machine Learning and a Routing, Modulation Level, and Spectrum Assignment Method

Dynamic Spectrum Assignment in Passive Optical Networks Based on Optical Integrated Microring Resonators Using Machine Learning and a Routing, Modulation Level, and Spectrum Assignment Method

Routing, Modulation Level, and Spectrum Assignment in Elastic Optical Networks—A Serial Stage Approach with Multiple Sub-Sets of Requests Based on Integer Linear Programming

Future Generation Elastic Optical Networks: A State-of-Art Review

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