Machine Learning Aided Control of Ultra-Wideband Indium Phosphide IQ Mach-Zehnder Modulators

A digital model of a dual-polarization IQ ultra-wideband indium phosphide Mach-Zehnder modulator is obtained through machine learning techniques. The model is used to test optimization algorithms that automatically set the modulator control voltages under different operative conditions finding the optimum bias point

Experimental Demonstration of Partially Disaggregated Optical Network Control Using the Physical Layer Digital Twin

Optical communications and networking are fast becoming the solution to support ever-increasing data traffic across all segments of the network, expanding from core/metro networks to 5G/6G front-hauling. Therefore, optical networks need to evolve towards an efficient exploitation of the infrastructure by overcoming the closed and aggregated paradigm, to enable apparatus sharing together with the slicing and separation of the optical data plane from the optical control. In addition to the advantages in terms of efficiency and cost reduction, this evolution will increase network reliability, also allowing for a fine trade-off between robustness and maximum capacity exploitation. In this work, an optical network architecture is presented based on the physical layer digital twin of the optical transport used within a multi-layer hierarchical control operated by an intent-based network operating system. An experimental proof of concept is performed on a three-node network including up to 1000 km optical transmission, open re-configurable optical add & drop multiplexers (ROADMs) and whitebox transponders hosting pluggable multirate transceivers. The proposed solution is based on GNPy as the optical physical layer digital twin and ONOS as intent-based network operating system. The reliability of the optical control decoupled by the data plane functioning is experimentally demonstrated exploiting GNPy as open lightpath computation engine and software optical amplifier models derived from the component characterization. Besides the lightpath deployment exploiting the modulation format evaluation given a generic traffic request, the architecture reliability is tested mimicking the use case of an automatic failure recovery from a fiber cut

Simulative Analysis of InP-based Dual Polarization IQ Mach-Zehnder Modulators

A realistic model of an Indium-Phosphide DP-IQ Mach-Zehnder modulator supported by experimental measurements is introduced within an accurate time-domain simulator. BER vs OSNR results show the effect of model’s non-linearities increasing the modulation format complexity at different symbol rates. The intrinsic modulator SNR is estimated

QoT-Driven Optical Control and Data Plane in Multi-Vendor Disaggregated Networks

A novel disaggregated network architecture with independent PCE and optical control based on GNPy is proposed and experimentally validated over a network including two independent OLSs for total 1400 km, ROADM whiteboxes and pluggable transceivers