Encompassing Filtering Effects in Transceiver Models for Converged Metro-Access Networks

We present a comprehensive experimental analysis of filtering penalties in metro-access scenarios, characterized by cascades of ROADMs and optical amplifiers. This analysis evaluates the impact of various configurations, considering filter bandwidths, data rates, and received optical power. The novelty of this work lies in the derivation and validation of a transceiver model that encompasses filtering penalties, along with the application of this model to facilitate end-to-end lightpath deployment in converged network-as-a-service environments for fog computing, aiming to enhance spectral efficiency.

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.23919/ondm65745.2025.11029341
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46
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article

Encompassing Filtering Effects in Transceiver Models for Converged Metro-Access Networks

R. Corsini, Andrea Rosso, Stefano Straullu, Vittorio Curri et al.
2 citations
Advanced MIMO Systems Optimization
1.46
article

Encompassing Filtering Effects in Transceiver Models for Converged Metro-Access Networks

R. Corsini, Andrea Rosso, Stefano Straullu, Vittorio Curri, Emanuele Virgillito, A. Castoldi, Francesco Aquilino, Enrico Miotto
article en
2 citations

Abstract

We present a comprehensive experimental analysis of filtering penalties in metro-access scenarios, characterized by cascades of ROADMs and optical amplifiers. This analysis evaluates the impact of various configurations, considering filter bandwidths, data rates, and received optical power. The novelty of this work lies in the derivation and validation of a transceiver model that encompasses filtering penalties, along with the application of this model to facilitate end-to-end lightpath deployment in converged network-as-a-service environments for fog computing, aiming to enhance spectral efficiency.

Politecnico di Torino (IT), LINKS Foundation (IT)
Openalex Percentile: Top 17%
Advanced MIMO Systems Optimization
1.46
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