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 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...
The University of California, San Diego received a $500,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations. The award will support research into low complexity massive multiple-input multiple-output (MIMO) systems from July 1, 2021 to June 30, 2024. The research aims to synergistically use array geometry, modeling, and learning techniques to advance massive MIMO systems. This work falls under the NSF's Computer and Information Science...
This National Science Foundation project grant of $392,690 will fund research at the University of California, Los Angeles from October 1, 2022 to September 30, 2025. The grant is part of NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, the university researchers will investigate using machine learning...
This Project Grant award of $272,372.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports collaborative research towards scalable and AI-based solutions for beyond-5G radio access networks. The research project aims to develop artificial intelligence-based resource allocation solutions and infrastructure-aware deployment methodologies to enable large-scale cell-free massive MIMO technology. This...
This three-year National Science Foundation project grant of $555,000 supports research at Virginia Polytechnic Institute and State University to develop virtualized millimeter-wave radio access network functions for 5G and beyond mobile networks. Funded through the Computer and Information Science and Engineering program, the award aims to reduce infrastructure costs by software-defining physical layer processing for commodity server clusters at network edges. Key objectives include low-latency...
This $500,000 National Science Foundation project grant supports the development of learning frameworks for nonlinear massive multiple-input multiple-output wireless systems at San Diego State University from September 2022 through August 2027. The grant was awarded by the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041). The principal investigator will construct a holistic machine learning approach to estimate,...
This Project Grant award, funded by the National Science Foundation's Engineering program (CFDA 47.041), provides $520,000 to the University of Texas at Austin over a 5-year period starting September 1, 2024. The project aims to advance miniature piezoelectric acoustic devices for efficient and adaptive radio-frequency front-end (RFFE) signal processing, with a focus on the millimeter-wave spectrum. The key technical objectives include: 1) developing low-loss and wideband thin-film lithium...
The National Science Foundation awarded a $500,000 Project Grant to Arizona State University under the Engineering (47.041) federal grant program. The five-year award will support the university's CAREER: ENABLING HIGHLY-MOBILE LARGE-SCALE MIMO SYSTEMS WITH MACHINE LEARNING project from April 2021 through March 2026. Through this funding, Arizona State University will develop new machine learning techniques to optimize the performance of highly-mobile large-scale multiple-input multiple-output...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $540,000 Project Grant to the University of California, San Diego (UCSD) to develop a monolithic silicon-photonics accelerator that will enable next-generation massive multiple-input, multiple-output (MIMO) wireless systems. The goal of this 3-year project is to create a computation-efficient matrix-inversion algorithm and corresponding hybrid photonic-electronic integrated accelerator to support the...