This $400,000 Project Grant award, funded by the National Science Foundation's Engineering program (CFDA 47.041), supports research by Michigan State University (MSU) to develop learning-based approaches for wireless devices to mitigate interference when signal-level interference information cannot be shared across networks. The key products and services to be delivered under this 3-year grant include: Designing supervisory learning algorithms to enable individual wireless devices to decode data...
This $399,947 Project Grant award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems (CFDA Program 47.041 - Engineering) will fund research to develop a new paradigm for efficient and reliable wireless communication in congested and contested spectrum environments. The key objectives are to: 1) Enable computationally lightweight time-frequency signal alignment to mitigate unpredictable interference; 2) Improve ultra-reliable low latency communications...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $265,998 supports research conducted by Boston University, Northeastern University, and the Massachusetts Institute of Technology to develop new methods for improving communication performance in shared, congested, and contested wireless spectrum bands. The key focus is leveraging the structured nature of interference, rather than treating it as indistinguishable noise, to enhance reliability and...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $259,943 to the Massachusetts Institute of Technology (MIT) to develop methods that improve communication performance in shared, congested, and contested spectrum bands. The project aims to leverage the structured nature of interference, rather than treating it as generic noise, to enhance the reliability and throughput of wireless communication systems. Key approaches involve...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $260,000 to Northeastern University will fund collaborative research to develop methods that improve communication performance in shared, congested, and contested spectrum bands. The project, entitled "Collaborative Research: Interferers in our Midst", brings together researchers from Northeastern University, Massachusetts Institute of Technology, and Boston University to address the...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Northeastern University a $749,965 Project Grant under the Engineering (47.041) federal grant program. The grant will support the development of a cross-layer design platform to advance radio frequency coexistence through adaptive frequency-selective devices and digital algorithms. Specifically, the university will create new microelectromechanical system frequency selective limiters integrated...
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 National Science Foundation project grant of $285,990 will fund research at Colorado State University from October 2022 through September 2025 under the Engineering program (CFDA 47.041). The university will develop a new mathematical framework for optimizing resilient spectrum coexistence between communication and radar systems using stochastic programming techniques. As demand for wireless connectivity and sensing capabilities increases, traditional deterministic constraints on spectrum...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $350,000 Project Grant to the Massachusetts Institute of Technology from September 1, 2021 to August 31, 2024 under the Engineering (47.041) federal grant program. This three-year collaborative research project, titled "SWIFT: Facilitating Spectrum Access by Noise Guessing," will develop techniques to improve spectrum access and utilization through noise prediction. By enabling devices to...
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 three-year, $750,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at the University of Michigan to develop novel multifunctional materials and devices for interference-immune broadband wireless systems. Specifically, the grant will support investigating the use of self-biased multiferoic materials and algorithms to learn how network participants use spectrum over time and cooperatively adapt to increase communication within limited spectrum. New multiferoic materials, devices, and circuits enabled by this research will allow very rapidly adaptable filters for wireless receivers. These filters, combined with algorithms utilizing predictive models of network participants, aim to maximize spectrum sharing efficiency without requiring adherence to particular protocols. The grant also aims to advance decentralized frameworks for spectrum sharing where smart network participants learn to characterize their environments and schedule future transmissions accordingly. Overall, the research seeks to enable more communication among more wireless network participants using the same amount of spectrum, with greater resistance to interference and more compact device designs.