Advancing GSNR Estimation & Power Optimization with ALLEGRO

In ALLEGRO, we continue pushing the boundaries of machine learning (ML) models to enhance GSNR estimation and power optimization in optical networks. Our latest research evaluates key parameters influencing these models, including: 🔹 Channel activity & idle states...

Optimizing Amplifier Gain Strategy for RAN in DWDM Networks

Optimizing Amplifier Gain Strategy for RAN in DWDM Networks

Managing EDFA amplifiers in a DWDM network is a complex challenge. The choice between constant gain mode and constant power mode directly impacts power stability, OSNR, and overall network performance. 🔹 Key Considerations: ✅ Constant Power Mode – Preferred in highly...

Enhancing ROADMs with a Modified Broadcast-and-Select Architecture

Enhancing ROADMs with a Modified Broadcast-and-Select Architecture

Traditional ROADMs and WSSs face limitations in efficiently supporting Point-to-Multipoint (P2MP) optical networks. To overcome these challenges, we propose a modified Broadcast-and-Select (B&S) ROADM architecture that improves spectrum efficiency and minimizes...

Long-Access Metro + PON Convergence: Unlocking the Span Budget

Long-Access Metro + PON Convergence: Unlocking the Span Budget

PON has become the gold standard for fixed optical access, with over a billion terminations deployed globally. As ITU-T and IEEE drive new standards to push bit rates even further, the discussion now includes 200 Gb/s per wavelength using PM-QAM and coherent...

Amplified Access Ring with Filter-less Add/Drop Operation

Amplified Access Ring with Filter-less Add/Drop Operation

In the ALLEGRO project, we've explored how pluggable EDFAs—low-cost amplifiers primarily designed for DCI applications—can be leveraged in multi-span DWDM networks despite their limitations. 🔍 Challenges with Pluggable EDFAs:✔️ Lack of variable gain operation with...

Monitoring Natural Disasters with Optical Fibres

Can optical fibres double as seismic sensors? Yes! Our work within the ALLEGRO project explores how state of polarization (SOP) variations in fibre-optic networks can be leveraged for earthquake detection and early warning systems. 📡🌎 🔬 How it Works:Using commercially...

Low-complexity Failure Management in Optical Networks

In the ALLEGRO project, we’ve taken a step forward in ML-driven failure management by developing a NN-based soft failure identifier that maintains high accuracy while significantly reducing complexity. 🔍💡 📌 Why is this important?Most ML-based failure detection models...