Cognitive and Autonomous Software-Defined Open Optical Networks

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Statistical Analysis of GSNR Fluctuations Due to Physical Layer Uncertainties

We present an analytical model based on the uncertainty propagation theory for the generalized signal-to-noise ratio (GSNR) error estimation at the output of an optical line system due to connector loss and amplifier gain ripple uncertainties. The results are validated by comparison with a Monte Carlo analysis, showing an excellent agreement in terms of estimated GSNR average and standard deviation

Flexible and Autonomous Multi-band Raman Amplifiers

We propose an embedded controller able to autonomously manage Raman amplification in software-defined optical networks. The conceived structure allows the system to work both in single and multi-band transmission, achieving a large range of amplification constraints. A set of experiments validates this proposal

Autonomous Raman Amplifiers in Software-Defined Optical Transport Networks

Within a context of software-defined optical transport networks (SD-OTN), this work addresses specifically the management of Raman amplification, aiming to introduce and experimentally validate a system able to autonomously control this feature in-situ. In particular, given the required amplification constraints, an ad-hoc software module has been developed in order to optimize Raman pump power levels. Then, relying on this software, the architecture of an embedded controller to install on board the Raman card has been defined to handle Raman pumps. The use of a conceived probing procedure allows to self-adapt each Raman amplifier to the installed fiber, allowing it to autonomously operate at the working point required by the control plane. Relying on the system telemetry, the proposed architecture controls the Raman pumps in order to achieve the required amplification constraints in terms of average gain and tilt. The entire proposal is validated through a set of experimental measurements that proofs both the achievement of the required gain target and the importance of the probing phase procedure in making the Raman amplifier autonomous and self-adaptable

Data Rate vs. Maximum Reach in a Data Center Interconnect Scenario Exploiting Wideband InP Mach-Zehnder Modulators

A new Mach-Zehnder DP-IQ ultra-wideband indium phosphide modulator with integrated optical semiconductor amplifiers has been characterized for time domain simulations to investigate data rate versus maximum range in a DCI scenario

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

Local vs. Global Optimization for Optical Line System Control in Disaggregated Networks

Setting the operating point of optical amplifiers of optical line systems (OLS)s within transparent, disaggregated and reconfigurable networks is a crucial task that determines the optical transmission performance of the specific infrastructure. In this work, four optimization strategies for OLS control are compared through a simulation campaign, where a realistic physical layer is replicated using a machine-learning model derived from an experimental dataset on commercial devices for the Erbium-doped fiber amplifiers (EDFA)s and a characterized set of fiber spans. In particular, two distinct objective functions are evaluated, both at the end of the line (global approach), and, in turn, at the end of each single span (local approach)

Autonomous Physical Layer Characterization in Cognitive Optical Line Systems

We develop a procedure to autonomously characterize the optical line system physical layer, span-by-span, using in-line OTDRs and OCMs. This procedure has been experimentally validated, showing a clear correlation between the experimental outcomes and emulations

Autonomous Equalization of Independent Open ROADMs via NETCONF Protocol

The ongoing opening of optical network infrastructures is progressively favoring their automation in terms of maintenance and optimization. A proof-of-concept for the autonomous equalization of independent open reconfigurable optical add-drop multiplexers (ROADM)s via network configuration protocol (NETCONF) is provided in this work. The code has been developed in order to prove the feasibility of a software defined network (SDN) framework, formatting and parsing extensible markup language (XML) requests sent via NETCONF to the ROADMs. In addition, representational state transfer (REST) endpoints are exposed providing power level measurements for each deployed connection. It is shown that the developed interface is capable to set the multiplexer attenuation values in order to equalize all the channels composing the propagating spectrum