Research platform for open-source, end-to-end Open RAN experimentation.
OpenRAN Gym is the first publicly-available research platform for data-driven O-RAN experimentation at scale. Building on frameworks for data collection and RAN control, OpenRAN Gym enables end-to-end design and testing of data-driven xApps by offering an O-RAN-compliant near-real-time RIC and E2 termination.
Security research resource/tool for analyzing 5G/6G network specifications or vulnerabilities.
Detecting inconsistencies in 4G/5G cellular network specifications and derived dataset
High-Fidelity RF Signal Mapping Using Geographic Databases
A Comprehensive Framework for Benchmarking Label-Efficient Learning
Datasets from real-world 5G measurement studies over cellular networks, aerial/drone 5G, carrier aggregation, radio-access failures, and misconfigurations.
Enabling Real-Time AI-Based Open RAN Control
Platform for RF datasets and data-generation workflows for wireless and radio-frequency machine learning.