Project Grant 2521926
- This $280,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports collaborative research at the University of Georgia Research Foundation to develop a modeling framework that integrates limited radio measurements with spatial priors derived from environmental sensing. The goal is to enable accurate and timely channel state information for next-generation wireless systems, particularly those operating in high-frequency bands with large-scale...
- This $600,000 National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering (CFDA 47.070) program, will fund research at Duke University to develop new approaches for enabling predictable wireless communication and radar sensing for 6G wireless technology. The key research thrusts include: 1) designing modulation schemes to simplify prediction of the wireless input-output relationship, 2) developing signal processing filters in the...
- This National Science Foundation (NSF) award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $599,943 to Virginia Polytechnic Institute & State University (Virginia Tech) to advance the concept of local 6G connectivity. The project focuses on developing a novel neural network-based method for wireless channel representation to enable controllable, resilient, and secure local 6G networks that leverage reflective intelligent surface technology. Key...
- 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 (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program supports collaborative research to develop robust and scalable cell-free massive MIMO technology for beyond-5G/6G wireless access networks. The $262,967 award to the San Diego State University Foundation covers the project period from October 1, 2023 to September 30, 2026. The research aims to create new nonlinear statistical inference methods 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 $200,000 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research project to develop new diagnostic testing methods for the Radio Access Network (RAN) subsystem of 5G and future mobile network technologies. The project aims to enhance RAN testing in three key areas: (1) improving test coverage by identifying dependencies and root causes, (2) enabling non-intrusive,...
- This $200,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop new diagnostic testing methods for 5G and beyond mobile network infrastructure, particularly the Radio Access Network (RAN) subsystem. The project aims to address limitations in current RAN testing by: (1) enhancing test coverage through exploiting dependencies across RAN software procedures and interfaces, (2)...
- 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 3-year, $300,000 Project Grant to the University of California Irvine (UC Irvine) under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of this collaborative research award is to develop advanced signal processing and resource allocation methods for cell-free massive multiple-input multiple-output (MIMO) wireless access networks, which can provide more uniform coverage and data rates compared to traditional...
This $200,000 Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) supports a collaborative research effort at Virginia Polytechnic Institute & State University (Virginia Tech) to develop a modeling framework that integrates limited radio measurements with spatial priors derived from environmental sensing. The goal is to enable accurate and timely Channel State Information (CSI) reconstruction for next-generation wireless systems, particularly those operating in high-frequency bands with large-scale antenna arrays, such as future 6G networks. The research explores applying array signal processing and vision-based 3D environmental reconstruction techniques to characterize local electromagnetic signal behavior as a function of position and direction. The resulting localized signal models aim to enable data-efficient CSI estimation for structured scenarios like indoor or urban deployments. The project outcomes, including data, code, and validation tools, will be open-sourced to support reproducibility and research dissemination. This work is expected to contribute to advanced wireless curriculum development and provide interdisciplinary research opportunities for students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 8/20/25 |