Project Grant 2331936
- This $522,499 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) 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 acquire radio spectrum through emerging market mechanisms without disclosing sensitive mission-critical information. The key product is a zero-knowledge proof-based...
- This Project Grant award, valued at $237,500.00 and made by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program, develops a novel cryptographic protocol-based architecture to enable federal agencies to rapidly access spectrum for wireless communication and sensing without compromising sensitive operational information. The key products delivered through this 3-year project include: A zero-knowledge proof-capable spectrum...
- 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...
- 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 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $380,000 in funding to Northeastern University to develop RF-centric machine learning techniques for real-time situational awareness and mitigation of misbehavior in wireless spectrum usage. The project aims to address challenges around spectrum scarcity, rising demand, and security/privacy vulnerabilities in software-defined wireless...
- This Project Grant award, valued at $308,750.00 and provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports research investigating market-driven approaches to radio spectrum management that leverage artificial intelligence (AI). The key objectives of this collaborative research project are to develop AI-powered mechanisms for optimizing spectrum allocation, securing spectrum sensing against adversarial manipulations, and...
- This Federal Project Grant award of $100,000, issued by the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences under CFDA Program 47.049, funds a collaborative research effort between an economist and two electrical engineers from the Massachusetts Institute of Technology (MIT). The project aims to use insights from mechanism design to develop ways to share wireless spectrum in the 6 GHz band, addressing the pressing need for economically viable spectrum sharing...
- This federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $380,000 to Northwestern University to investigate an innovative approach for managing the radio spectrum. The key products and services to be delivered under this 3-year award include: Analysis of a new regulatory model based on assigning rights to spectrum receivers rather than licensing transmitters, in order to increase total wireless capacity,...
- The National Science Foundation (NSF) awarded a $285,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Texas A&M Engineering Experiment Station (Tees) in College Station, TX. The goal of this 2-year project, which runs from October 1, 2025 to September 30, 2027, is to develop methodology that will enable satellite communication links operating in higher frequency bands (12-40 GHz) to achieve the same level of reliability and performance as systems in...
- The National Science Foundation (NSF) awarded a $749,999 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Virginia Polytechnic Institute & State University (Virginia Tech) to develop efficient schemes for spectrum coexistence between satellite and terrestrial wireless communications systems. The 3-year project, titled "SWIFT-SAT: Efficient and On-Demand Spectrum Coexistence for Satellite-Terrestrial Systems", aims to address key technical...
The National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences awarded a $300,000 EAGER (Early-Concept Grants for Exploratory Research) Project Grant to Virginia Polytechnic Institute & State University (Virginia Tech), under CFDA 47.049 - Mathematical and Physical Sciences. This 2-year award supports research to investigate the use of distributed ledger technology (DLT), such as blockchain, to enable automated and secure dynamic spectrum allocation mechanisms. The project aims to develop policies and technologies for privacy-preserving information exchange and Byzantine-resilient collaboration among mutually distrustful spectrum management systems, in order to enhance spectrum efficiency and availability for wireless communications and sensing. Key technical objectives include evaluating DLT architectures, identifying essential data exchange, developing a DLT-based spectrum assignment protocol, and applying privacy-enhancing technologies. The research seeks to inform future Federal Communications Commission regulations in this area.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/23/23 |