Research
I'm interested in low-power IoT networks, network simulation, modeling and optimization, QoS-driven resource allocation, and Cloud infrastructures. I also maintain the lorawan module of the ns-3 network simulator. Some papers are highlighted.
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Kubernetes-Based Real-Time LoRaWAN Emulation Toward Network Digital Twins
Alessandro Aimi,
Michele Brigadoi,
Andrea Sabbioni,
Armir Bujari,
DS-RT, 2026
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Integrating ns-3, ELoRa and real network servers in a Kubernetes framework to automate reproducible, real-time emulation and testing of large-scale LoRaWAN deployments.
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CLUES: Community-Driven LoRa Networks Urban Sensing Empowered by Smart Homes
Alessandro Aimi,
Andrea Sabbioni,
Armir Bujari,
Paolo Bellavista,
Pietro Manzoni
IEEE Network, 2026
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Putting citizen-owned smart LoRa gateways into homes to enable decentralized, community-driven urban sensing with scalable coverage and shared local data services.
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ELoRa: End-to-end Emulation of Massive IoT LoRaWAN Infrastructures
Alessandro Aimi,
Stéphane Rovedakis,
Fabrice Guillemin,
Stefano Secci
IEEE/IFIP NOMS, 2023
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ELoRa integrates ns-3 with ChirpStack to emulate realistic LoRaWAN traffic and anomalies at scale, enabling live testing of orchestration and radio resource allocation techniques.
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Traffic Control and Channel Assignment for Quality Differentiation in Dense Urban LoRaWANs
Alessandro Aimi,
Stéphane Rovedakis,
Fabrice Guillemin,
Stefano Secci
WiOpt, 2022
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Traffic control and channel assignment policies can be used for service-quality differentiation in dense LoRaWAN deployments, with improvements in packet delivery, device servicing rates, and network operator revenue.
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Packet Delivery Ratio Guarantees for Differentiated LoRaWAN Services
Alessandro Aimi,
Stéphane Rovedakis,
Fabrice Guillemin,
Stefano Secci
IEEE GLOBECOM, 2022
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An access-control method to isolate device clusters in LoRaWAN and meet differentiated packet delivery targets with improved fairness, at the cost of reduced network range.
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