Exploring Channel Probing to Determine Coherent Optical Transponder Configurations in a Long-Haul Network

Kaeval, Kaida; Rafique, Danish; Blawat, Kamil; Grobe, Klaus; Grieser, Helmut; Elbers, Jörg-Peter; Rydlichowski, Piotr; Binczewski, Artur; Tikas, Marko

doi:10.1364/ofc.2020.w1j.2

Cited by 3 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2) Further elaborations on our previous work [14] where, for the first time, channel probing method is used in the systematic lab study to derive OSaaS service margins required to accommodate the impact from enabled direct neighbors and the end-of-life channel loads in the OLS, and 3) using margin depletion method in the HEAnet production network to explore the changes in GSNR implementation margin required for achievable capacity estimations [15,16] through decreasing or increasing the power levels near zero-margin, pre-Forward Error Correction (FEC) Bit Error Rate (BER) thresholds.…”

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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…The performance of different wavelength-division multiplexing (WDM) channels for a link and across the network is not uniform and the effective margin is based on the worst performing channel, leaving potential for improved performance and resource allocation by methods allowing a system to operate at lower margin [2][3][4][5]. The disaggregation trend requires a new tier of flexible and elastic networks with finer and dynamic control over provided spectral bands and data rates [6][7][8], further enabling systems with low margin design [9][10][11]. For new networks planned with low margin and existing networks operated at lower margin an accurate quality of transmission (QoT) indicator, such as the signal-to-noise ratio (SNR), guaranteeing reliable operation is imperative.…”

Section: Introductionmentioning

confidence: 99%

Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling

Jones¹,

Bottrill²,

Taengnoi³

et al. 2023

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

We propose a technique for modeling erbium-doped fiber amplifiers (EDFAs) in optical fiber networks, where the amplifier unit is located at a distant node outside the laboratory. We collect data on an optical point-to-point link with the amplifier as the only amplification stage. Different amplifier operating points are modeled using probe signals and by adjusting the settings of the amplifier through a control network. The data are used to train a machine learning algorithm integrated within a physical EDFA model. The obtained mathematical model for the amplifier is used to model all amplifiers of a network and links with multiple amplification stages. To confirm the modeling accuracy, we thereafter predict and optimize launch power profiles of two selected links in the network of 439.4 km and 592.4 km lengths. Maximum/average channel optical signal-to-noise ratio prediction errors of 1.41/0.68 dB and 1.62/0.83 dB are achieved for the two multi-span systems, respectively, using the EDFA model trained on the single span system with margin-optimized launch power profiles. Up to 2.2 dB of margin improvements are obtained with respect to unoptimized transmission.

show abstract

Channel Performance Estimations with Extended Channel Probing

Kaeval¹,

Grießer²,

Grobe³

et al. 2021

Preprint

View full text Add to dashboard Cite

Exploring Channel Probing to Determine Coherent Optical Transponder Configurations in a Long-Haul Network

Abstract: We use channel probing to determine the best transponder configurations for spectral services in a long-haul production network. An estimation accuracy better than ±0,7dB in GSNR margin is obtained for lightpaths up to 5738km.

Cited by 3 publications

References 3 publications

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

Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling

Channel Performance Estimations with Extended Channel Probing

Contact Info

Product

Resources

About