A WDM Network Controller With Real-Time Updates of the Physical Layer Abstraction

This paper describes the implementation of a wavelength division multiplexing network controller that accounts for the varying conditions of the network physical layer in real time. A newly added software module is used to estimate the physical layer quality of transmission (QoT-E) in the form of a single transmission figure of merit for every line span in the network, i.e., the optical signal-to-noise ratio (OSNR) degradation. The estimated OSNR degradation is used to verify lightpath feasibility in the network, and produce optimal routing and wavelength assignment solutions in real time, without the need for a separate network planning tool. The OSNR degradation is estimated without requiring detailed knowledge of the optical components deployed in the network, and consequently the approach is vendor agnostic. The accuracy of the estimated OSNR degradation is assessed experimentally, and its impact on two network-wide performance indicators is studied through simulation.

[1]  Lei Liu,et al.  SDN orchestration of OpenFlow and GMPLS flexi-grid networks with a stateful hierarchical PCE [invited] , 2015, IEEE/OSA Journal of Optical Communications and Networking.

[2]  Ivan B. Djordjevic,et al.  Advanced Optical Communication Systems and Networks , 2013 .

[3]  V. Curri,et al.  On the Interplay of Nonlinear Interference Generation With Stimulated Raman Scattering for QoT Estimation , 2017, Journal of Lightwave Technology.

[4]  R. Cigliutti,et al.  The LOGON strategy for low-complexity control plane implementation in new-generation flexible networks , 2013, 2013 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC).

[5]  E. Riccardi,et al.  Automated End to End Carrier Ethernet Provisioning Over a Disaggregated WDM Metro Network with a Hierarchical SDN Control and Monitoring Platform , 2018, 2018 European Conference on Optical Communication (ECOC).

[6]  P. Poggiolini,et al.  The GN-Model of Fiber Non-Linear Propagation and its Applications , 2014, Journal of Lightwave Technology.

[7]  V. Curri,et al.  Physical layer performance of multi-band optical line systems using raman amplification , 2019, IEEE/OSA Journal of Optical Communications and Networking.

[8]  Vittorio Curri,et al.  Multi-Vendor Experimental Validation of an Open Source QoT Estimator for Optical Networks , 2018, Journal of Lightwave Technology.

[9]  Víctor López,et al.  Control plane architectures for elastic optical networks [Invited] , 2018, IEEE/OSA Journal of Optical Communications and Networking.

[10]  Lena Wosinska,et al.  Transport Abstraction Models for an SDN-Controlled Centralized RAN , 2015, IEEE Communications Letters.

[11]  Vittorio Curri,et al.  On the Interplay of Nonlinear Interference Generation With Stimulated Raman Scattering for QoT Estimation , 2018, Journal of Lightwave Technology.

[12]  Polina Bayvel,et al.  The Gaussian Noise Model in the Presence of Inter-Channel Stimulated Raman Scattering , 2017, Journal of Lightwave Technology.

[13]  Alan E. Willner,et al.  Optical Fiber Telecommunications: Systems and Networks , 2008 .

[14]  Jean-Christophe Antona,et al.  Nonlinear cumulated phase as a criterion to assess performance of terrestrial WDM systems , 2002, Optical Fiber Communication Conference and Exhibit.

[15]  Andrea Fumagalli,et al.  An SDN-enabled multi-layer protection and restoration mechanism , 2018, Opt. Switch. Netw..

[16]  Reza Nejabati,et al.  Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database , 2017, 2017 European Conference on Optical Communication (ECOC).

[17]  Yvan Pointurier,et al.  Design of low-margin optical networks , 2017, IEEE/OSA Journal of Optical Communications and Networking.

[18]  N Sambo,et al.  Modeling and Distributed Provisioning in 10–40–100-Gb/s Multirate Wavelength Switched Optical Networks , 2011, Journal of Lightwave Technology.

[19]  Andrea Carena,et al.  Observing the Interaction of PMD with Generation of NLI in Uncompensated Amplified Optical Links , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

[20]  Dominique Verchère,et al.  Protocol enhancements for “greening” optical networks , 2013, Bell Labs Technical Journal.

[21]  Takehiro Tsuritani,et al.  Optical Path Computation Element interworking with Network Management System for Transparent Mesh Networks , 2008, OFC/NFOEC 2008 - 2008 Conference on Optical Fiber Communication/National Fiber Optic Engineers Conference.

[22]  Zhuo Li,et al.  Experimental demonstration of converged inter/intra data center network architecture , 2015, 2015 17th International Conference on Transparent Optical Networks (ICTON).

[23]  I. Morita,et al.  Demonstration of Adaptive SDN Orchestration: A Real-Time Congestion-Aware Services Provisioning Over OFDM-Based 400G OPS and Flexi-WDM OCS , 2017, Journal of Lightwave Technology.

[24]  Takeshi Hoshida,et al.  A Learning Living Network With Open ROADMs , 2017, Journal of Lightwave Technology.

[25]  Piero Castoldi,et al.  Open Network Database for Application-Based Control in Multilayer Networks , 2017, Journal of Lightwave Technology.

[26]  Gabriella Bosco,et al.  Design Strategies and Merit of System Parameters for Uniform Uncompensated Links Supporting Nyquist-WDM Transmission , 2015, Journal of Lightwave Technology.

[27]  Vittorio Curri,et al.  Modelling the Impact of SRS on NLI Generation in Commercial Equipment: An Experimental Investigation , 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

[28]  J. Kahn,et al.  Channel Power Optimization of WDM Systems Following Gaussian Noise Nonlinearity Model in Presence of Stimulated Raman Scattering , 2017, Journal of Lightwave Technology.

[29]  Yue Fei Impacts of Physical Layer Impairments on Optical Network Performance , 2017 .