Project Grant 2549087
- The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M Engineering Experiment Station $250,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on proactive wireless network control in future broadband systems. The project develops framework and artificial intelligence models for optimal resource management in frequency range 3 (FR3) upper mid-band wireless...
- The National Science Foundation Division of Information and Intelligent Systems awarded Northwestern University $259,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on management and control methods for next-generation wireless networks that share infrastructure and spectrum. The project, titled "VINES: Track 1: Management and Control of Multi-Infrastructure Spectrum-Sharing Networks," develops a...
- 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Washington $196,920 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on AI-enhanced terahertz CMOS transceiver technology for next-generation wireless communications. The project, titled "VINES: Track 1: AI-Enhanced Reconfigurable and Scalable Terahertz CMOS Transceiver Panel for NextG Communication Systems...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Research Foundation For The State University Of New York $301,666 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop wireless networking techniques for connected autonomous mobile systems. The project, titled "VINES: TRACK 1: FieldAware: AI Native Hybrid-Field Networking for Connected Autonomous Systems," advances theory and practice...
- This Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $100,333 to the Rochester Institute of Technology (RIT) to develop smart surfaces capable of adaptively modifying wireless channels. The goal is to unlock the full potential of wireless networks by manipulating the propagation environment to achieve greater spatial multiplexing and coverage for massive numbers of devices and exponential growth in data...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of California, Los Angeles $210,000 on January 1, 2026, under the Engineering program (CFDA 47.041) to develop generalizable and adaptive radio frequency signal generative models for next-generation wireless communication and sensing. The project creates an innovative RF signal propagation modeling framework to advance Wi-Fi 7 and sixth-generation cellular networks for applications...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $244,830 to Tufts University to conduct collaborative research on fundamental challenges in extremely wideband, highly directional channels for future terahertz-enabled wireless networks. The key objectives are to design hybrid beamforming algorithms for wideband multicarrier systems, investigate joint user association with base stations and reconfigurable intelligent surfaces, and...
- This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...
- This three-year, $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will support research into energy-efficient terahertz communications technologies for beyond fifth-generation wireless systems. The University of California, Irvine will lead collaborative efforts with institutions in Finland to address fundamental physical layer challenges through four interconnected research thrusts. Specifically, the award will fund...
COLLABORATIVE RESEARCH: VINES: TRACK 1: NSF-RCF: FORMULA3: OPTIMAL RESOURCE MANAGEMENT USING GENERALIZABLE AI IN FREQUENCY RANGE 3 DYNAMIC PROGRAMMABLE WIRELESS ENVIRONMENTS -THIS PROJECT STUDIES HOW FUTURE WIRELESS NETWORKS CAN DELIVER FAST, STABLE, AND RELIABLE CONNECTIONS INSIDE BUILDINGS AND FROM OUTDOORS TO INDOORS. IT FOCUSES ON A NEW RANGE OF RADIO FREQUENCIES THAT CAN CARRY MUCH MORE DATA THAN CURRENT SYSTEMS WHILE STILL COVERING USEFUL DISTANCES. THE PROJECT EXPLORES HOW SMART PROGRAMMABLE SURFACES PLACED ON WALLS CAN REDIRECT WIRELESS SIGNALS AROUND OBSTACLES. BY COMBINING THESE SMART SURFACES WITH ARTIFICIAL INTELLIGENCE-BASED CONTROL, THE PROJECT AIMS TO PREVENT CONNECTION PROBLEMS BEFORE USERS NOTICE THEM. AT ITS CORE, THE PROJECT ADVANCES THE SCIENCE OF PROACTIVE WIRELESS NETWORK CONTROL THROUGH FOUR TIGHTLY INTEGRATED TECHNICAL THRUSTS. THE FIRST THRUST DEVELOPS REALISTIC CHANNEL MODELS AND DATASETS USING EXPERIMENTAL PLATFORMS WITH PROGRAMMABLE REFLECTIVE SURFACES OPERATING IN THE FREQUENCY RANGE 3 (FR3) UPPER MID-BAND. THE SECOND THRUST DESIGNS NOVEL ARTIFICIAL INTELLIGENCE MODELS THAT PROACTIVELY CONFIGURE BEAMS AND REFLECTIVE SURFACES. THE THIRD THRUST IMPROVES MODEL GENERALIZATION BY INCORPORATING ENVIRONMENTAL CONTEXT INFORMATION FROM INTEGRATED SENSING AND COMMUNICATION, ALONG WITH CONTINUAL LEARNING. THE FOURTH THRUST PROVIDES RIGOROUS EVALUATION THROUGH COMBINED SIMULATION AND MEASUREMENT ACROSS DYNAMIC INDOOR AND OUTDOOR-TO-INDOOR SCENARIOS. THE PROJECT HAS BROAD IMPACTS ON SOCIETY, EDUCATION, AND TECHNOLOGY DEVELOPMENT. RELIABLE AND LOW-LATENCY WIRELESS CONNECTIVITY SUPPORTS APPLICATIONS SUCH AS AUGMENTED REALITY, VIRTUAL REALITY, REMOTE HEALTHCARE, AND ADVANCED MANUFACTURING. THE PROJECT TRAINS GRADUATE STUDENTS IN WIRELESS SYSTEMS, SENSING, AND ARTIFICIAL INTELLIGENCE THROUGH HANDS-ON RESEARCH EXPERIENCES ACROSS PARTICIPATING INSTITUTIONS. THIS COLLABORATIVE PROJECT BRINGS TOGETHER INVESTIGATORS FROM TENNESSEE TECH UNIVERSITY, TEXAS A & M UNIVERSITY, AND NEW YORK UNIVERSITY IN THE UNITED STATES, AND AALTO UNIVERSITY AND TAMPERE UNIVERSITY IN FINLAND, TO ADVANCE NEXT-GENERATION WIRELESS CONNECTIVITY THROUGH AN INTERNATIONAL PARTNERSHIP. THROUGH THIS INTERNATIONAL COLLABORATION BETWEEN THE UNITED STATES AND FINLAND, THIS PROJECT ADVANCES THE FOUNDATION OF ARTIFICIAL INTELLIGENCE NATIVE WIRELESS NETWORKS THAT CAN SENSE, PREDICT, AND ADAPT TO CHANGE. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $75.0k | 8/4/26 |