Project Grant 2245918
- The National Science Foundation awarded a $199,902 Project Grant to the University of Massachusetts Dartmouth under the Engineering program (CFDA 47.041). The grant will support the development of an adaptive incremental deep learning architecture to infer radio frequency signals in dynamic spectrum sharing environments in real time. The proposed research aims to advance self-learning of spectrum sensing, signal classification, and radio frequency parameter characterization through an online...
- This Project Grant award of $550,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development and validation of a distributed, data-driven architecture for dynamic spectrum management among heterogeneous wireless systems. The goal is to overcome the limitations of centralized spectrum management and increase spectrum efficiency. The project focuses on designing protocols and algorithms for a Distributed...
- 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...
- This $308,750 federal Project Grant awarded by the National Science Foundation (NSF), under the Mathematical and Physical Sciences grant program (CFDA 47.049), funds collaborative research towards developing an AI-empowered, market-driven spectrum management system. The project investigates dynamic spectrum allocation and sharing approaches that leverage artificial intelligence to enhance radio spectrum utilization and efficiency. The research comprises three integrated thrusts: 1) developing...
- This National Science Foundation (NSF) Electrical, Communications and Cyber Systems (ECCS) Division Project Grant award of $400,000 to Virginia Polytechnic Institute & State University (Virginia Tech) aims to develop learning-based interference mitigation techniques for wireless spectrum sharing. The research will focus on three key thrusts: 1) designing supervisory learning algorithms to enable individual radio devices to decode data packets in the presence of unknown interference, 2)...
- The National Science Foundation (NSF) awarded a $380,000 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to the University of Arizona, doing business as the Arizona Board of Regents. The grant, with a performance period from June 15, 2025 to May 31, 2028, aims to lay the theoretical foundation for the economics of multi-operator spectrum sharing (SS) over both licensed and unlicensed frequency bands, considering market uncertainties. The...
- This $380,000 project grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), aims to develop RF-centric machine learning techniques for real-time situational awareness and mitigation of misbehavior in wireless communications systems. The project at Northeastern University seeks to address challenges posed by spectrum scarcity, rising demand, and the potential for malicious exploitation of software-defined radios. The research...
- This $400,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is funding the development of a comprehensive framework for managed spectrum sharing in the FR3 frequency band (7-24 GHz). The key products and services being delivered under this 3-year award (10/1/2024 - 9/30/2027) include: Building a wireless digital twin to accurately model signal propagation and enable spectrum access/management...
- This National Science Foundation (NSF) Project Grant award, provided under the Engineering program (CFDA 47.041), is funding a collaborative research effort to develop a modeling framework that integrates limited radio measurements with spatial priors derived from environmental sensing. The $200,000 award, effective from Sep 1, 2025 to Aug 31, 2028, will support research at Virginia Polytechnic Institute & State University (Virginia Tech) to investigate how geometric and visual information...
The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Old Dominion University Research Foundation (Odurf), a non-profit organization affiliated with Old Dominion University. The grant, titled "CRII: CNS: Towards Robust and Efficient Dynamic Spectrum Sharing with Knowledge Transfer," aims to develop novel transfer learning frameworks for dynamic spectrum sharing in next-generation wireless networks. The project focuses on exploring strategies to enable knowledge transfer across users, environments, and wireless systems to more effectively utilize underutilized licensed spectrum. It includes designing an ensemble evaluation scheme, developing efficient transfer learning-based dynamic spectrum sharing frameworks, and creating robust security and privacy transfer learning strategies. The funding supports a 2-year project period from October 1, 2023 to September 30, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 8/9/23 |