Concatenated GSNR Profiles for End-to-End Performance Estimations in Disaggregated Networks

Kaeval, Kaida; Myyry, Jani; Grobe, Klaus; Grieβer, Helmut; Jervan, Gert

doi:10.1364/ofc.2022.w4g.4

Cited by 2 publications

(1 citation statement)

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“…However, as the multiple benefits of OSaaS outweigh the operational complications that the service model may introduce, the OSaaS characterization activity in terrestrial links is likely to become a part of daily work. This is because it enables precise pre-handover capacity estimations in the concatenated multi-domain network segments, operated by different operators [13].…”

Section: Introductionmentioning

confidence: 99%

Employing channel probing to derive end-of-life service margins for optical spectrum services

Kaeval

Slyne

Troia

et al. 2023

J. Opt. Commun. Netw.

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Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end service. Based on the black-link approach, these services are empowered by reconfigurable transceivers and the emerging disaggregation trend in optical transport networks. This work investigates the accuracy aspects of the channel probing method used in Generalized Signal to Noise Ratio (GSNR)-based OSaaS characterization in terrestrial brownfield systems. OSaaS service margins to accommodate impacts from enabling neighboring channels and end-of-life channel loads are experimentally derived in a systematic lab study carried out in the Open Ireland testbed. The applicability of the lab-derived margins is then verified in the HEAnet production network using a 400 GHz wide OSaaS. Finally, the probing accuracy is tested by depleting the GSNR margin through power adjustments utilizing the same 400 GHz OSaaS in the HEAnet live network. A minimum of 0.92 dB and 1.46 dB of service margin allocation is recommended to accommodate the impacts of enabling neighboring channels and end-of-life channel loads. Further 0.6 dB of GSNR margin should be allocated to compensate for probing inaccuracies.

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Section: Introductionmentioning

confidence: 99%

Employing channel probing to derive end-of-life service margins for optical spectrum services

Kaeval

Slyne

Troia

et al. 2023

J. Opt. Commun. Netw.

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show abstract

Deep Neural Network-enabled Fast and Large-Scale QoT Estimation for Dynamic C+L-Band Mesh Networks

Zhang,

Song,

Shi

et al. 2023

2023 Optical Fiber Communications Conference and Exhibition (OFC)

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Concatenated GSNR Profiles for End-to-End Performance Estimations in Disaggregated Networks

Abstract: The performance of a wide-band optical spectrum service is computed using individual segment characterizations and compared to measured end-to-end performance. An accuracy of ±1.4 dB is achieved for live network routes up to 3116 km.

Cited by 2 publications

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Employing channel probing to derive end-of-life service margins for optical spectrum services

Employing channel probing to derive end-of-life service margins for optical spectrum services

Deep Neural Network-enabled Fast and Large-Scale QoT Estimation for Dynamic C+L-Band Mesh Networks

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