Project Grant 2451262

Award Date 7/1/25
Completion Date 6/30/27
Dollars Obligated $175K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
San Francisco, CA 94132, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $200,000 to New York University (NYU) will support research to design and prototype a wideband liquid crystal-based reconfigurable intelligent surface (RIS) operating at 142 GHz. The project aims to develop novel algorithms for optimal control of the active RIS elements, including frequency-dependent phase shift and amplitude amplification, leveraging...
This $600,000 grant awarded by the National Science Foundation's (NSF) Engineering (CFDA 47.041) program aims to develop an end-to-end methodology that optimizes Intelligent Reflecting Surface (IRS) design for wideband wireless operation, precise beam pattern generation, and cost reduction. The project, led by The Research Foundation for the State University of New York (RF SUNY), seeks to bridge the gap between theoretical IRS designs and practical implementations by accounting for realistic...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $299,555 will fund a collaborative research project between investigators in the USA and Finland. The project, titled "COLLABORATIVE RESEARCH: NSF-RCF: NETS: SMALL: CO-DESIGNING ANTENNA-ANALOG-DIGITAL DOMAINS FOR ENERGY-EFFICIENT WIRELESS NETWORKS", aims to develop a novel "Mixed Domain Design" (MD2) framework and practical designs for...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $200,000 to Iowa State University for the development of a reconfigurable intelligent surface (RIS) panel capable of simultaneously programming both the transmission and reflection of electromagnetic waves. This project aims to enhance the functionality and energy efficiency of RIS technology to support resilient 5G and 6G wireless communications,...
This $375,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program supports collaborative research at the University of Notre Dame du Lac from October 1, 2022 to September 30, 2025. The research focuses on addressing coexistence challenges in three mid-band radio frequency spectra recently made available for commercial wireless use—the C-band, the Citizens Broadband Radio Service band, and unlicensed 6 GHz bands. The University researchers...
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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) Project Grant awarded to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey provides $599,986 from August 1, 2023 to July 31, 2026 to develop an alternative distributed radio frequency (RF) sensing paradigm that can "look around corners" using reconfigurable intelligent surfaces (RIS). The project aims to advance fundamental theory and practical methods...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award for $500,000 to Arizona State University provides funding to develop novel mathematical frameworks, techniques, and architectures for distributed multi-modal sensing-aided large-scale MIMO and high-frequency communication networks. The goal is to enable scalable and reliable next-generation wireless networks to support emerging applications in autonomous...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) project grant, titled "CRII: NETS: INTELLIGENT REFLECTING SURFACE ASSISTED TRANSMITTING AND SENSING FOR SPECTRUM SHARING AND COEXISTENCE OF HETEROGENEOUS WIRELESS SYSTEMS", aims to develop a multi-intelligent reflecting surface (IRS)-assisted spectrum sharing and sensing framework to enable the coexistence of heterogeneous wireless systems. The $175,000 award, with a performance period from July 1, 2025 to June 30, 2027, will fund the following key innovations:

  1. A graph neural network-based scheme to efficiently estimate channel state information and optimize IRS reflection element configurations to direct signals and mitigate interference.
  2. A physics-regulated deep reinforcement learning-based control scheme for real-time fair resource allocation and beamforming to optimize resource distribution and ensure reliable signal transmissions.
  3. Extensive software simulations and testbed experiments to validate the developed techniques and enhance coordination of multiple IRSs to improve spectrum efficiency and fairness for coexisting wireless systems and applications.

No subawards are planned for this project. The research outcomes are expected to enhance user connectivity, reduce signal disruptions, and drive application innovations in crowded wireless environments.

Generated 7/15/25, 4:21 AM