All Artifacts

AUTO-RAN Monitoring Agent

Enrico Sbuttoni

An AI-driven monitoring agent designed to track key network KPIs, including UL/DL throughput, Signal-to-Noise Ratio (SNR), and pZeroNominal values for PUCCH and PUSCH, in cloud-native 5G O-RAN networks. The agent dynamically queries VictoriaMetrics and provides structured KPI responses to higher-layer agents within the multi-agent workflow.

AUTO-RAN Validation Agent

Andrea Leone

An AI-driven validation agent designed to evaluate power-related configuration parameters, including pZeroNominal for PUCCH and PUSCH, within an Amarisoft-based 5G network Digital Twin. The agent dynamically deploys a digital twin instance, executes controlled traffic simulations, and measures achieved uplink throughput to generate performance validation results.

AUTO-RAN Config Planner Agent

Enrico Sbuttoni

An AI-driven config planner agent that designs cell reconfiguration strategies to optimize network performance. It coordinates with the Monitoring Agent to retrieve KPI context and with the Validation Agent to assess candidate configurations before recommending an optimized reconfiguration plan to higher-layer agents.

Uplink Sounding Reference Signal Monitoring xApp via O-RAN LLC SM

Mikel Irazabal

This xApp enables real-time monitoring of low-layer RAN metrics through the O-RAN standardized Low Layer Control (LLC) service model. It specifically supports monitoring of uplink Sounding Reference Signals (SRS) and related physical layer measurements.

Service Level Agreement rApp

Ali Yaghoubian

A cloud-native and O-RAN compliant rApp designed to enforce the Service Level Agreement (SLA) policy via O-RAN standardized A1 interface, enabling centralized control and management of network slicing behavior in 5G networks.

5G NVIDIA Aerial Testbed SRS Indoor and Outdoor Dataset

Max Mayershofer

Florian Kaltenberger

Omid Esrafilian

Reem Bahsoun

This dataset contains raw Channel Frequency Response (CFR) measurements collected from uplink Sounding Reference Signals (SRS), the corresponding FAPI metadata, and the slot of fronthaul (FH) IQ samples where SRS was transmitted by a 5G User Equipment (UE). Data is provided for real-world multi-antenna 5G indoor and outdoor deployments using the Aerial Testbed at the EURECOM campus in scenarios with and without a dynamic scatterer present. In the indoor scenario this is a person walking through the cell, while in the outdoor setting it is a UAV/drone flying through the cell.

5G SRS Indoor Positioning Dataset

Ping-Yu Hsieh

Chieh-Chun Chen

This dataset contains pre-processed spatial features extracted from uplink Sounding Reference Signals (SRS) in a 5G ISAC (Integrated Sensing and Communication) indoor environment. Utilizing a O-RAN setup, it provides real-time extracted CIR taps, frequency-domain amplitudes, and spatial footprints to enable AI/ML-driven localization and human-blockage detection.

Hermes API Agent

Enrico Sbuttoni

Hermes is an intelligent API agent for managing 5G O-RAN network resources through natural language interaction. It enables conversational deployment, retrieval, modification, and deletion of network entities such as terminals, networks, and infrastructure elements, with automatic YAML generation and schema validation for cloud-native network environments.