1,721,024 research outputs found

    Scaling Optical Transport using Multi-band Photonic Integrated Switching Systems

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    Modular and scalable photonic integrated multi-band wavelength-selective switch

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    Today’s optical transmission landscape is seeing a rapid increase in resource demand, due to bandwidth-intensive applications, emerging standards, such as 5G, as well as the expansion of the Internet-of-Things (IoT) paradigm. This requires an expansion of the current optical network infrastructure and capability, accommodating the increasing demand [1]. From the network operator standpoint, two main solutions are available: new infrastructure can be deployed, which represents the expensive solution, or the residual capacity of the existing network can be exploited through multi-band paradigms, which represents the more cost-effective solution [2]. To achieve the full utilization of the remaining available fiber spectrum, new technologies such as Band-Division Multiplexing (BDM) must be enabled on top of the already existing Wavelength-Division Multiplexing (WDM) based network. This requires switching and filtering elements suited for an ultra-wide bandwidth of operation, allowing consistent performances in the whole needed spectrum. For this purpose, photonic integrated circuits (PICs) represent an ideal solution, as they provide a large bandwidth of operation while maintaining low footprint, cost, and power consumption. To this end, we propose a fully integrated modular wavelength-selective switch (WSS), able to independently route each of the input signal channels towards the desired output port, operating on the S+C+L optical transmission windows

    QoT- Estimation Assisted by Transfer learning in Extended C-band Network Operating on 400ZR

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    We propose a transfer learning-based technique that assists in estimating the Quality-of-transmission (QoT) of the lightpaths in an extended C-band network on 400ZR. The proposed scheme develops the cognition using the traditional C-band operating network knowledge

    Iterative Transfer Learning Approach for QoT Prediction of Lightpath in Optical Networks

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    Machine learning (ML) has been widely used in optical networks for accurate Quality-of-transmission (QoT) estimation of Lightpaths (LPs). However, this domain has two main issues: ML-based models require a sufficiently large amount of data for training, and once the model is trained on one type of configuration, it cannot be used for another configuration. This paper focuses on these two issues and proposes an Active Transfer Learning (ATL) based solution. In ATL, Active learning (AL) helps in reducing the dataset’s size while not compromising the model’s performance, while the Transfer learning (TL) concept enables the transfer of knowledge from a source domain to the target domain with improved accuracy. This combined approach of ATL delivers promising results with minimum data samples and enhanced performance

    Photonic-integrated wavelength selective switch for S+C+L applications

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    We propose a novel modular photonic integrated Wavelength Selective Switch (WSS) based on a reconfigurable optical multiplexer architecture, capable to operate over the S+C+L bands and scalable. The densely integrated solution takes advantage of an input stage with grating assisted contra-directional couplers to separate channels in the three considered communication bands, followed by a cascade of two-stage ladder ring resonators, to separating each transmitted channel. A final switching stage routes the signal to the desired output fiber, with a cascade of thermally controlled Mach-Zehnder interferometers. The transmission penalty of the proposed solution has been evaluated in a coherent transmission scenario

    Performance Analysis of Novel Multi-band Photonic-integrated WSS Operated on 400ZR

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    We present a detailed performance analysis of a novel photonic integrated wide-band wavelength selective switch operating in S+c+L bands. The results demonstrate that the proposed device offers low loss and frequency flat behavior for the considered band in a single or cascade implementation

    Modular Photonic-Integrated Device for Multi-Band Wavelength-Selective Switching

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    We propose a Silicon Photonics based WSS for S+C+L bands, independently routing any input channel to the desired output fiber. BER and OSNR for a system with 30 total channels are evaluated with Synopsys Optsim

    Softwarized and Autonomous Management of Photonic Switching Systems Using Machine Learning

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    We propose a machine learning-based approach for the management of photonic switching systems in a software-defined network context. This work aims to describe a soft-warized system that is both topological and technological agnostic and can be employed in real-time

    Automatic Management of N×N Photonic Switch Powered by Machine Learning in Software-defined Optical Transport

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    Optical networking is fast evolving towards the applications of the Software-defined Networking (SDN) paradigm down to the (Wavelength-division Multiplexing) WDM transport layer for cost-effective and flexible infrastructure management. Optical SDN requires each network element’s software abstraction to enable full control by the centralized network controller. Nowadays, modern network elements, especially photonic switching systems, are developed by exploiting the fast-emerging technology of Photonic Integrated Circuit (PIC) that consists of complex fabrics of elementary units that can be driven individually using a large set of elementary controls. In this work, we focus on modeling the elementary control states of the topological structures behind PIC N×N switches under a fully blind approach based on Machine Learning (ML) techniques. The ML agent’s training and testing datasets are obtained synthetically by software simulation of the photonic switch structure. The proposed technique’s scalability and accuracy are validated by considering different dimensions N and applying it to two different switching topologies: the Honey-Comb Rearrangeable Optical Switch and the network. Excellent results in terms of prediction of the control states are achieved for both of the considered topologies

    Novel Design and Operation of Photonic- integrated WSS for Ultra-wideband Applications

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    Photonic integrated solutions for switching applications can yield large bandwidth and high reconfigurability while requiring low power and footprint. We propose a modular, scalable photonic integrated multi-band wavelength selective switch, able to independently route the input fiber channels to an arbitrary number of output ports
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