This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, titled "SMART: SPECTRUM-DATA FOR MACHINE LEARNING AND ANALYSIS THROUGH ROBUST FEATURE TRANSFORMATIONS," aims to enhance access to radio frequency (RF) spectrum data through the development of novel machine learning (ML) architectures. The $379,979 project, which runs from July 2025 to June 2028, focuses on three interconnected research thrusts:...
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 Project Grant award of $373,326 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance the state-of-the-art in massive multiple input multiple output (MMIMO) antenna systems for future mobile telecommunications networks. The key objectives are to: (i) develop resilient and personalized channel estimation techniques using distributed and federated learning, and (ii) leverage multimodal sensor data, transfer learning, and attention-based transformer...
Rice University was awarded a $376,000 Project Grant from the National Science Foundation Division of Computer and Network Systems on October 1, 2021 to complete the project by September 30, 2024. The grant funds the "COLLABORATIVE RESEARCH: CCRI: NEW: RFDATAFACTORY: PRINCIPLED DATASET GENERATION, SHARING AND MAINTENANCE TOOLS FOR THE WIRELESS COMMUNITY" project. This project will develop principled dataset generation, sharing, and maintenance tools to support the wireless research...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an Open Radio Access Network (O-RAN) wireless testbed and training curriculum at the Stevens Institute of Technology. The key products and services include: 1) Extending the abilities of wireless professionals by providing public and remote access to an O-RAN-based wireless cyberinfrastructure, which integrates...
This Project Grant award for $167,647 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program and will be performed by the University of Texas at Austin. The project, titled "COLLABORATIVE RESEARCH: SWIFT: MEDUSA: MID-BAND ENVIRONMENTAL SENSING CAPABILITY FOR DETECTING INCUMBENTS DURING SPECTRUM SHARING", aims to develop advanced machine learning and antenna design techniques to enable more reliable detection of radar...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of a global spectrum observatory through mobile spectrum sensing kits and supporting software ecosystem. Specifically, the University of California, San Diego will receive funding from August 15, 2022 to July 31, 2025 to design, implement, deploy and make available low-cost kits that allow for spectrum sensing and measurement across diverse, wide...
This three-year, $1,199,824 project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA #47.070), will support the development of a "RADIORTML" platform at Northeastern University. RADIORTML aims to demonstrate the feasibility of automatically optimizing radio frequency integrated circuits in real-time through machine learning techniques implemented directly on...
This Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to develop an Open Dynamic Spectrum Management (O-DSM) system to improve spectrum sharing between commercial 5G/6G networks and federal/non-federal users across mid-band frequencies like the lower 3 GHz and FR3 bands. The key goals of this $397,356 project, with a performance period from July 1, 2025 to June 30, 2030,...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research towards scalable and AI-based solutions for beyond-5G radio access networks. The $272,372 award to Arizona State University (ASU) will develop AI-based resource allocation approaches to enable large-scale cell-free massive MIMO networks, along with network planning and waveform constraint methodologies to address scalable...