Project Grant 2530896
- This Project Grant award of $285,694, provided by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083), aims to develop a safe online hierarchical learning framework for Open Radio Access Network (O-RAN) mobile networks. The key goals are to enable online resource allocation at near-real-time RICs using safe deep reinforcement learning, and online service orchestration at non-real-time RICs through robust Bayesian learning. Additionally, the project will...
- This $900,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the performance, intelligence, and security of Open Radio Access Network (O-RAN) technology. The project, led by Virginia Polytechnic Institute & State University (Virginia Tech), aims to address key challenges in O-RAN across three interconnected research thrusts: Developing a data-driven approach for real-time multi-user...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an Open Radio Access Network (O-RAN) wireless testbed and training curriculum at the Stevens Institute of Technology. The key products and services include: 1) Extending the abilities of wireless professionals by providing public and remote access to an O-RAN-based wireless cyberinfrastructure, which integrates...
- This $200,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will support the development of an experimental testbed for research and evaluation to benefit both "AI for Wireless" and "Wireless for AI" applications. The project aims to create an integrated wireless and AI infrastructure that can be used by the research community to develop and evaluate novel solutions for advanced...
- This $150,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides funding to the University of Hawaii at Manoa to develop an Open Radio Access Network (O-RAN) wireless testbed and training program. The project aims to train the next-generation wireless workforce by allowing trainees to access and operate advanced wireless communications equipment and instruments, including software-defined...
- This $300,000 federal Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, supports collaborative research at Michigan State University to enhance the performance, intelligence, and security of O-RAN (Open Radio Access Network) technologies. The project aims to address key challenges in O-RAN by developing data-driven beamforming techniques, machine learning algorithms for multi-user MIMO control, and safeguard...
- This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of new diagnostic testing methods for Open Radio Access Network (O-RAN) systems, which are critical components of 5G and future mobile network infrastructure. The $200,000 award, effective October 1, 2024 through September 30, 2027, aims to create a systematic approach to mobile network diagnostic testing that...
- The National Telecommunications and Information Administration (NTIA) awarded a $1,731,182.34 Project Grant to Michigan State University (MSU) under the Public Wireless Supply Chain Innovation Fund Grant Program (CFDA 11.038). The grant funds MSU's research and development of AI-assisted methods for testing the interoperability, performance, and security of 5G Open Radio Access Network (O-RAN) components, including radio units (RUs), distributed units (DUs), and central units (CUs). The key...
- This $200,000 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) Program is for a collaborative research effort to enhance the robustness of deep learning-based wireless systems against adversarial attacks. The project, titled "COLLABORATIVE RESEARCH: SATC: CORE: SMALL: ACHIEVING ADVERSARIAL ROBUSTNESS IN NEXT-GENERATION DEEP LEARNING-BASED WIRELESS SYSTEMS", aims to develop a framework that improves the reliability of...
- This $200,000 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research project to develop new diagnostic testing methods for the Radio Access Network (RAN) subsystem of 5G and future mobile network technologies. The project aims to enhance RAN testing in three key areas: (1) improving test coverage by identifying dependencies and root causes, (2) enabling non-intrusive,...
This $900,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to establish the scientific and engineering foundations required to detect, neutralize, and prevent adversarial AI in Open Radio Access Network (O-RAN) systems. The REPAIRT project, led by Northeastern University, couples the programmable wireless infrastructure of Saint Louis University and Northeastern University with new algorithms for systematic red teaming of AI applications in O-RAN networks. The project develops methods to flag adversarial AI behavior before and after deployment, and introduces techniques to remove poisoned data and logic without costly retraining. The project also establishes a heterogeneous testbed to enable reproducible experiments at scale and delivers an open framework for researchers and industry to stress-test their own AI-driven applications under realistic conditions. These research outputs are expected to enable trustworthy AI application marketplaces and advance AI security capabilities for dynamic cyber-physical systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 7/28/25 |