Project Grant 2433888
- This Project Grant award of $308,750 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program was granted to the University of Florida to investigate market-driven approaches for improving the allocation, sensing, and optimization of radio spectrum resources. The research aims to develop Artificial Intelligence (AI)-powered mechanisms that can enhance the efficiency, security, and stability of future wireless communication systems by dynamically managing spectrum...
- This federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program provides $142,500 in funding to The University of Central Florida Board of Trustees for a 3-year research project titled "Towards an AI-Empowered Market-Driven Spectrum System with Strategic and Adversarial Users." The project investigates market-driven approaches that leverage artificial intelligence (AI) to enhance radio spectrum allocation, sensing, and market...
- This $380,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research into a new approach for managing the radio spectrum. The project aims to increase total wireless capacity, enable a wide range of applications, assure spectrum access for the common good, and promote innovation. Key components of the research include: 1) Investigating a receiver-centric rights regime to minimize transaction costs, encourage...
- This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $380,000.00 to Northeastern University to address critical challenges in wireless spectrum management and security. The project, titled "Securing Spectrum Sharing in Era 4," aims to develop RF-centric machine learning techniques for real-time situational awareness, including sensing, classification, detection, and localization of misbehaving devices....
- This Project Grant award of $237,500 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports the development of a novel architecture for secure and adaptive spectrum management. The project aims to create cryptographic protocols that enable federal agencies to quickly access radio spectrum without disclosing sensitive information, thereby facilitating their participation in emerging spectrum market models. The core research thrusts focus on developing a...
- This $190,000 Project Grant from the National Science Foundation Directorate for Mathematical and Physical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund research into spectrum sharing techniques from January 2023 through December 2025. The award supports development of a Zone Management System prototype to enable spectrum sharing across disparate wireless services, such as communications, scientific sensing, and radar systems, within an Innovation Zone...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is for a 3-year research project led by North Carolina State University (NC State). The project aims to develop robust intelligent algorithms for managing and optimizing dynamic wireless spectrum access, which is critical for emerging technologies like autonomous vehicles and the metaverse. Key innovations include techniques for...
- The National Science Foundation awarded a $188,000 Project Grant to the Regents of the University of California at Riverside under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049). The grant supports the development of new market mechanisms and protocols for dynamic and automated spectrum sharing between cellular providers. The project aims to analyze a two-step design for spectrum markets, involving trading of both forward and spot spectrum contracts, as well as...
- The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $200,000 Project Grant titled "COLLABORATIVE RESEARCH: SII-NRDZ-SBE: BRIDGING THE TECHNO-ECONOMIC GAP FOR THE DESIGN OF SPECTRUM ZONE MANAGEMENT SYSTEMS" to Northwestern University. This 2-year award, effective September 1, 2023, supports collaborative research between an economist and two electrical engineers to apply mechanism design insights to develop approaches for shared access to...
This $308,750 Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences grant program (CFDA 47.049) to the University of South Florida to investigate market-driven spectrum access and management approaches that leverage artificial intelligence (AI) to enhance radio spectrum allocation, sensing, and market optimization. The project aims to facilitate the evolution from current radio spectrum management strategies to more dynamic and efficient methods, thereby increasing the overall utility and efficiency of the radio spectrum. This will be achieved through the development of AI-driven mechanisms that balance efficiency, security, and stability in spectrum allocation, sensing, and market policies. The research comprises three integrated thrusts: developing new learning-based spectrum allocation mechanisms, securing spectrum sensing against adversarial manipulations, and ensuring market stability through adaptive monetary policies. The award has an initial performance period from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $308.8k | 8/14/25 |