OpenRAN Gym is an open-source project fostering collaborative, AI-driven and experimental research in the Open RAN ecosystem. The goal of OpenRAN Gym is to bring together researchers from academia and industry to create a vibrant, dynamic, evolving and cooperative ecosystem advancing research and development of cutting-edge and groundbreaking solutions for the Open RAN. We welcome contributions from the community, please follow this link to contribute to OpenRAN Gym.

If you use the components part of OpenRAN Gym, please reference the following paper:

L. Bonati, M. Polese, S. D’Oro, S. Basagni, and T. Melodia, “OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN,” in Proceedings of IEEE WCNC Workshop on Open RAN Architecture for 5G Evolution and 6G, Austin, TX, USA, April 2022. [pdf] [bibtex]

OpenRAN Gym is organized by a team at the Institute for the Wireless Internet of Things, Northeastern University.

• Leonardo Bonati
• Michele Polese
• Salvatore D’Oro

• Tommaso Melodia
• Stefano Basagni

Support

OpenRAN Gym is partially supported by the U.S. National Science Foundation under Grants CNS-1925601, CNS-2120447, and CNS-2112471, by the U.S. Office of Naval Research under Grant N00014-20-1-2132, and by OUSD (R&E) through Army Research Laboratory Cooperative Agreement Number W911NF-19-2-0221.