is designed to let developers create, deploy, and test programmable network functions and 5G services in a shared virtual environment. It provides flexible access to distributed virtual resources, enabling experimentation with advanced network architectures.

tested LTE-WiFi Aggregation to steer downlink traffic from LTE to WiFi, evaluating performance and network robustness in unlicensed spectrum.

is offering open access to networks, 5G, IoT, and cloud systems, enabling researchers and industry to experiment and validate next-generation technologies across multiple facilities.

developed an AR application for urban guidance and live video streaming, leveraging FLAME’s MEC infrastructure for low latency and fast access. It enabled personalized AR experiences with 3D navigation, real-time geotagging, geofencing, and location-triggered multimedia and advertising.

is providing a shared experimental platform for researching and validating advanced wireless and network technologies, especially for 5G and beyond. It enables open access to real-world testbeds and tools so researchers and developers can experiment.

delivers a flexible edge-cloud platform for Small Cells, enabling multi-tenant, low-latency services and efficient resource use. It’s validated in crowded events, public safety, and in-flight connectivity scenarios.

experimentally measures how different VPN encryption protocols affect 5G network performance and user devices, including throughput, CPU use, power consumption, and radio state behavior. The study was carried out on the Fed4FIRE+ testbeds to provide up‑to‑date data.

uses AI to monitor, analyse, and forecast traffic-related greenhouse gas emissions in European cities, providing recommendations to reduce pollution. Inspired by emission-filtering abilities, it leverages multimodal mobility data to optimize urban transport sustainability.

strengthens smart grid cybersecurity by providing an integrated platform for detecting, responding to, and mitigating advanced cyberattacks. It combines big data analytics, anomaly detection, forensic readiness, and secure information exchange.

provides a cost-effective, unobtrusive at-home solution for screening Obstructive Sleep Apnea, using breath tracking and advanced machine learning to directly measure apneic events.