Core Arrangement Based Spectrum-Efficient Path Selection in Core-Continuity Constrained SS-FONs

Agrawal, Anuj; Bhatia, Vimal; Prakash, Shashi

doi:10.1007/978-3-030-38085-4_49

Cited by 8 publications

(2 citation statements)

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“…We examine three-core and seven-core geometries in the network model [1] [6] [3]. XT due to parallel transmissions on overlapping spectrum only affects neighboring cores, and cores that are not adjacent remain unaffected.…”

Section: Network Model and Preliminariesmentioning

confidence: 99%

“…The closest neighbouring cores that contribute to the XT when the overlapping spectrum on these cores is occupied by another ongoing parallel transmission are called as 'lit'-cores and the number is denoted by γ. An analytical model based on coupled-power theory is used to determine the mean XT (XT µ ) in MCF links as shown in (1). Here, path length (L), power-coupling coefficient (h), and the number of adjacent cores contributing to XT in a given core and spectrum band (γ) are used to calculate XT µ .…”

Section: Network Model and Preliminariesmentioning

confidence: 99%

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Dual optimization for enhancing TRA in MCF-based SDM-EONs

Petale,

Subramaniam

2024

Photon Netw Commun

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A fine-grained, flexible frequency grid of elastic optical transmission and space division multiplexing (SDM) in conjunction with spectrally efficient modulations is an ideal solution for the impending capacity crunch. The routing, modulation, core, and spectrum assignment (RMCSA) problem is an important lightpath resource assignment problem in SDM elastic optical networks (SDM-EONs). Intercore Crosstalk (XT) degrades the quality of parallel transmissions on adjacent cores, and the RMCSA algorithm must satisfy XT requirements while optimizing network performance. There is an indirect tradeoff between spectrum utilization and XT tolerance; while higher modulations are more spectrum-efficient, they are also less tolerant of XT because they allow fewer connections between neighboring cores on the overlapping spectrum. In the presence of XT, the Tridental Resource Assignment algorithm (TRA) has been shown to optimally assign resources in multicore fiber networks. Using the tridental coefficient (TC), this algorithm strikes a balance between spectrum utilization and XT. However, TRA is computationally expensive because TC is calculated for all the possible candidate resource sets for each lightpath request. In this paper, we demonstrate that acceptable or better TRA performance can be achieved while reducing computational overhead than traditional TRA. We achieve that using different stages of offline optimization, required only once. We demonstrate that by using tailored weights in TC, the performance of TRA can be enhanced further. We observe that acceptable TRA performance can be achieved with as low as 40% of the total computations and that adjusting weights reduces the bandwidth blocking of TRA, which is already performing better than the baseline algorithms, by approximately two orders of magnitude.

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Section: Network Model and Preliminariesmentioning

confidence: 99%

Section: Network Model and Preliminariesmentioning

confidence: 99%