Project Grant 2322191

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Irvine, CA 92697, USA
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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 National Science Foundation (NSF) awarded a $600,000 Computer and Information Science and Engineering (CFDA 47.070) Project Grant to the University of California, Irvine (UC Irvine) to conduct research on asynchrony and limited feedback in next-generation wireless communications systems. The 3-year project aims to analyze the performance and design of multiple access techniques, such as non-orthogonal and grant-free systems, that allow for simultaneous transmission by multiple users while...
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 Project Grant award from the National Science Foundation (NSF) under the Engineering (CFDA 47.041) program provides $373,326 to the University of Texas at Austin to conduct research on massive multiple-input multiple-output (MMIMO) antenna systems for future mobile telecommunication networks. The key objectives are to: Advance resilient and personalized channel estimation using distributed and federated learning techniques to address interference issues with pilot signals. Leverage...
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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...
The National Science Foundation awarded Purdue University a $215,000 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from January 2023 through December 2025. The grant will support research into developing scalable artificial intelligence-based solutions and appropriate access point deployment planning tools to enable large-scale implementation of cell-free massive MIMO networks. This work constitutes an important step toward...
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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 cellular architectures.

The key research activities under this grant include: (1) Developing nonlinear variational Bayesian techniques for centralized and distributed processing of cell-free massive MIMO systems, focusing on channel estimation, data detection, and user activity detection; (2) Designing novel user-centric pilot schemes and power control solutions that account for practical challenges like hardware impairments and fronthaul quantization errors; and (3) Devising robust and scalable resource allocation strategies to address user congestion and improve energy efficiency under non-uniform traffic conditions. This research will be conducted jointly by US, Irish, and Northern Irish institutions, and will support the training of a diverse cohort of postdoctoral researchers, PhD, master's, and undergraduate students in transformative 5G and 6G wireless access technologies.

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