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

Abstract

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.

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

“…Several methods have been proposed for QoT estimation, relying on physical models of network components [12], data driven machine learning (ML) models [13][14][15][16][17][18][19][20][21][22][23], and integration of the two [24]. More recently, also partially loaded systems have been addressed [25,26]. The uncertainty in component param-eters and the effect on the QoT estimate has been investigated in [27,28].…”