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...
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 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $468,660 to the University of Texas at Austin to develop the "RFDataFactory" platform. The goal of RFDataFactory is to enable easy collection, preprocessing, and sharing of wireless datasets suitable for applied machine learning (ML) research in 5G and beyond networks. Key objectives include: Automating the generation...
This Project Grant award from the National Science Foundation Division of Computing and Communication Foundations provides $967,950 to Oregon State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from July 1, 2022 to June 30, 2025. The award will support the development of latent neural factor analysis models and spectrum cartography techniques to map radio frequency environments from limited sensor measurements. The grantee aims to...
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 Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to develop an Open Dynamic Spectrum Management (O-DSM) system to improve spectrum sharing between commercial 5G/6G networks and federal/non-federal users across mid-band frequencies like the lower 3 GHz and FR3 bands. The key goals of this $397,356 project, with a performance period from July 1, 2025 to June 30, 2030,...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of a global spectrum observatory through mobile spectrum sensing kits and supporting software ecosystem. Specifically, the University of California, San Diego will receive funding from August 15, 2022 to July 31, 2025 to design, implement, deploy and make available low-cost kits that allow for spectrum sensing and measurement across diverse, wide...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $200,000 provides funding for a 3-year collaborative research project at the University of Delaware focused on developing TrustSAS, an innovative AI/ML-powered trustworthy Spectrum Access System (SAS) for dynamic spectrum sharing. The key products and services to be delivered through this grant include: Veriss, a framework for verifiable spectrum sensing using graphical neural...
This $200,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop advanced analog circuits and systems for dense, in-situ spectrum monitoring. The key products and services to be delivered include: (1) Ultra-efficient, single-shot analog cross-correlators capable of rapidly computing cross-correlations between input signals and template waveforms. This enables low-latency spectrum sensing...
This $1.4 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will support the development of a global spectrum observatory through the SpecScapes initiative. Led by the University of Wisconsin-Madison, SpecScapes aims to design, implement, deploy and make available low-cost mobile spectrum sensing kits and a supporting software ecosystem. These kits will allow for spectrum sensing and measurement across wide bands and areas to...