Physical Layer Aware Networking
PLANET
The PLANET group focuses on the design, modeling, and experimental validation of next-generation optical and quantum networks, with a strong emphasis on physical-layer awareness, openness, and real-world impact. The group is composed of 4 staff members and approximately 15 PhD students and postdoctoral researchers, fostering a dynamic and interdisciplinary research environment.
A core activity of the group is WDM optical transport modeling and simulation, spanning accurate physical-layer techniques such as Split-Step Fourier Method (SSFM), perturbative approaches, and AI-aided modeling. These methods enable scalable and realistic performance evaluation of modern optical systems, including multi-band optical networking across extended spectral regions.
PLANET actively contributes to and develops open-source solutions for optical network modeling, notably through tools such as GNPy within the Telecom Infra Project (TIP). Building on this, the group advances the concept of the Optical Network Digital Twin (ONDT)—a real-time, physics-aware replica of the network—developed in collaboration with international initiatives such as TIP and the IOWN Global Forum (Innovative Optical and Wireless Network Global Forum). The ONDT supports network planning, operation, and optimization through continuous synchronization with field data.
The group also pioneers open optical control frameworks, based on open protocols and APIs, enabling flexible and vendor-neutral network management. An in-house multilayer control system, offered as ONDT-as-a-service, integrates planning, control, and telemetry to support automation and intelligent orchestration.
A distinctive research direction is Photonic Integrated Sensing and Communication (P-ISAC), where optical networks are leveraged as distributed sensing platforms. By exploiting WDM transmissions and the telemetry plane in terrestrial infrastructures, PLANET develops solutions for applications such as earthquake early warning, infrastructure monitoring, and detection of anthropic activities. These capabilities are coupled with AI-driven ONDT analytics for proactive failure prediction and network restoration.
Experimental validation is carried out in the Open PLANET Lab, a three-node optical network testbed featuring in-house open control, a full telemetry plane, and connectivity to production networks, enabling realistic experimentation and technology transfer.
In parallel, PLANET explores the emerging field of quantum networking, addressing the coexistence and integration of quantum and classical systems. Research includes quantum–classical coexistence in optical fibers, focusing on crosstalk, interference, and device-induced noise. The group investigates quantum interconnects and scalable network architectures for distributed quantum computing, incorporating quantum memories, qubit platforms, and matter–photon interfaces.
Further activities include the design of quantum networking protocols, such as entanglement distribution, routing, and resource management, accounting for synchronization and coherence constraints. To support this, PLANET develops advanced simulation frameworks for quantum networks, capturing both physical-layer effects and network-level dynamics under realistic conditions.
Overall, PLANET combines theoretical modeling, open software, experimental platforms, and cross-disciplinary innovation to advance intelligent, open, and future-proof optical and quantum networks.
A core activity of the group is WDM optical transport modeling and simulation, spanning accurate physical-layer techniques such as Split-Step Fourier Method (SSFM), perturbative approaches, and AI-aided modeling. These methods enable scalable and realistic performance evaluation of modern optical systems, including multi-band optical networking across extended spectral regions.
PLANET actively contributes to and develops open-source solutions for optical network modeling, notably through tools such as GNPy within the Telecom Infra Project (TIP). Building on this, the group advances the concept of the Optical Network Digital Twin (ONDT)—a real-time, physics-aware replica of the network—developed in collaboration with international initiatives such as TIP and the IOWN Global Forum (Innovative Optical and Wireless Network Global Forum). The ONDT supports network planning, operation, and optimization through continuous synchronization with field data.
The group also pioneers open optical control frameworks, based on open protocols and APIs, enabling flexible and vendor-neutral network management. An in-house multilayer control system, offered as ONDT-as-a-service, integrates planning, control, and telemetry to support automation and intelligent orchestration.
A distinctive research direction is Photonic Integrated Sensing and Communication (P-ISAC), where optical networks are leveraged as distributed sensing platforms. By exploiting WDM transmissions and the telemetry plane in terrestrial infrastructures, PLANET develops solutions for applications such as earthquake early warning, infrastructure monitoring, and detection of anthropic activities. These capabilities are coupled with AI-driven ONDT analytics for proactive failure prediction and network restoration.
Experimental validation is carried out in the Open PLANET Lab, a three-node optical network testbed featuring in-house open control, a full telemetry plane, and connectivity to production networks, enabling realistic experimentation and technology transfer.
In parallel, PLANET explores the emerging field of quantum networking, addressing the coexistence and integration of quantum and classical systems. Research includes quantum–classical coexistence in optical fibers, focusing on crosstalk, interference, and device-induced noise. The group investigates quantum interconnects and scalable network architectures for distributed quantum computing, incorporating quantum memories, qubit platforms, and matter–photon interfaces.
Further activities include the design of quantum networking protocols, such as entanglement distribution, routing, and resource management, accounting for synchronization and coherence constraints. To support this, PLANET develops advanced simulation frameworks for quantum networks, capturing both physical-layer effects and network-level dynamics under realistic conditions.
Overall, PLANET combines theoretical modeling, open software, experimental platforms, and cross-disciplinary innovation to advance intelligent, open, and future-proof optical and quantum networks.
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Scientific coordinators
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Research team
Research area
Research topics
- AI: use for proactive control and sensing
- Quantum/classical channels coexistence: modeling, simulation
- Physical Layer Aware Networking
- Digital Twins: open source GNPy project
- Optical Communications: modeling, simulation, optimization
- Open Optical Networking: path computation, control
- Optical Integrated Sensing and Communications: using the optical fiber networks as distributed sensors for network surveillance, earthquake early warning, anthropic events, etc
Skills
ERC sectors
SDG
Keywords
Research collaborations
Pubblicazioni da archivio istituzionale
Publications from the institutional repository
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Ambrosone, Renato; Srivallapanondh, Sasipim; Schips, Riccardo; Malik, Gulmina; Straullu, ... (In stampa)
Enabling Real-Time Optical Networks as Distributed Sensors via Open-Source Telemetry Architecture. In: JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING. ISSN 1943-0620 -
Virgillito, Emanuele; Notarstefano, Federico; Ambrosone, Renato; Malik, Gulmina; ... (In stampa)
Multi-Tech Sensing In-Field Demonstration on Terrestrial Optical Data Networks. In: JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING. ISSN 1943-0620 -
Rizzi, Giuseppina Maria; Curri, Vittorio (2026)
Accuracy of Fiber Propagation Evaluation Using Phenomenological Attenuation and Raman Scattering Models in Multiband Optical Networks. In: NETWORK, vol. 6. ISSN 2673-8732 -
Zeb, Sanwal; Ali, Ahtisham; Dipto, Imran Chowdhury; Rosso, Andrea; Masood, Muhammad ... (2026)
AI-driven converged metro-access optical network-as-a-service with point-to-multipoint coherent optics for 6G X-Hauling. In: COMPUTER NETWORKS, vol. 284. ISSN 1389-1286 -
Miotto, Enrico; D'Amico, Andrea; Straullu, Stefano; Mano, Toru; Nishizawa, Hideki; ... (2026)
Exact PDL-induced SNR statistics in dual-polarization coherent optical communication systems. In: OPTICS EXPRESS, vol. 34, pp. 19588-19600. ISSN 1094-4087 -
Cheruvakkadu Mohamed, Mashboob; Ambrosone, Renato; Masood, Muhammad Umar; Malik, ... (2026)
Failure Prediction in Optical Transport Networks Through the Integration of Digital Twins and Deep Learning. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 44, pp. 2964-2973. ISSN 0733-8724 -
D'Amico, Andrea; Le Rouzic, Esther; Melin, Stefan; Kundrát, Jan; Mano, Toru; James ... (2026)
GNPy as a benchmark for open and disaggregated optical networks. In: JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, vol. 18, pp. 30-43. ISSN 1943-0620 -
Malik, Gulmina; Masood, Muhammad Umar; Ali, Ahtisham; Cheruvakkadu Mohamed, Mashboob; ... (2026)
Machine Learning–Based Detection and Classification of Overlapping Fiber Anomalies. In: IEEE PHOTONICS TECHNOLOGY LETTERS, vol. 38, pp. 1157-1160. ISSN 1041-1135 -
Mohamed, Mashboob Cheruvakkadu; Ambrosone, Renato; Masood, Muhammad Umar; Malik, ... (2026)
Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks. In: IEEE PHOTONICS TECHNOLOGY LETTERS, vol. 38, pp. 1227-1230. ISSN 1041-1135 -
Ali, Ahtisham; Masood, Muhammad Umar; Rosso, Andrea; Malik, Gulmina; Pollone, Michela; ... (2026)
Statistical Analysis of end-to-end Route Feasibility in Converged Metro–Access Optical Networks. In: IEEE PHOTONICS TECHNOLOGY LETTERS. ISSN 1041-1135 -
Usmani, Fehmida; D'Amico, Andrea; Straullu, Stefano; Aquilino, Francesco; Bratovich, ... (2025)
A Smart Sensing Grid for Road Traffic Detection Using Terrestrial Optical Networks and Attention-Enhanced Bi-LSTM. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, pp. 4624-4634. ISSN 0733-8724 -
Marchisio, Andrea; Da Ros, Francesco; Curri, Vittorio; Carena, Andrea; Bardella, Paolo (2025)
Comprehensive model of MZI-based circuits for photonic computing applications. In: COMMUNICATIONS PHYSICS, vol. 8. ISSN 2399-3650 -
Liu, Che-Yu; Chen, Xiaoliang; Proietti, Roberto; Zhu, Zuqing; Yoo, S. J. Ben (2025)
Deep reinforcement learning-aided multi-step job scheduling in optical data center networks. In: JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, vol. 17. ISSN 1943-0620 -
Tunesi, Lorenzo; Curri, Vittorio; Carena, Andrea; Bardella, Paolo (2025)
Enhanced Bandwidth Tunability in Thermally Controlled Multi-pitch Contra-directional Couplers. In: IEEE PHOTONICS JOURNAL, vol. 17, pp. 1-11. ISSN 1943-0655 -
D'Ingillo, Rocco; Castronovo, Alberto; Straullu, Stefano; Curri, Vittorio (2025)
Polynomial Modeling of Noise Figure in Erbium-Doped Fiber Amplifiers. In: FIBERS, vol. 13, pp. 1-32. ISSN 2079-6439 -
Malik, Gulmina; Dipto, Imran Chowdhury; Masood, Muhammad Umar; Mohamed, Mashboob ... (2025)
Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring. In: AI, vol. 6. ISSN 2673-2688 -
Awad, Hasan; Usmani, Fehmida; Virgillito, Emanuele; Bratovich, Rudi; Proietti, Roberto; ... (2024)
Environmental Surveillance through Machine Learning-Empowered Utilization of Optical Networks. In: SENSORS, vol. 24. ISSN 1424-8220 -
On, Mehmet Berkay; Proietti, Roberto; Gül, Gamze; Kanter, Gregory S.; Singh, Sandeep ... (2024)
Experimental Demonstration of Datagram Switching With Monitoring in Quantum Wrapper Networks. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 42, pp. 3504-3514. ISSN 0733-8724 -
Donodin, Aleksandr; London, Elliot; Correia, Bruno; Virgillito, Emanuele; Tan, Mingming; ... (2024)
Multi-band ESCL transmission supported by bismuth-doped and Raman fiber amplification. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 42, pp. 2317-2327. ISSN 0733-8724 -
Marchisio, Andrea; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo (2024)
Particle swarm optimization-assisted approach for the extraction of VCSEL model parameters. In: OPTICS LETTERS, vol. 49, pp. 125-128. ISSN 0146-9592