Project Grant 2514415
- 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...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,000 to Purdue University from October 1, 2023 to September 30, 2026. The project aims to develop advanced machine learning and optimization techniques to enable autonomous resource management in next-generation wireless networks, with a focus on improving quality-of-experience for augmented reality applications. Key objectives...
- 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 $305,746 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop technical solutions for a more open and democratized wireless access ecosystem. The project, titled "COLLABORATIVE RESEARCH: NETS: SMALL: LAST MILE AS A FREE MARKET: DEMOCRATIZING WIRELESS ACCESS WITH ON-DEMAND DECENTRALIZED CONTRACTS," is led by North Carolina State University. The key objectives are to: 1)...
- 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...
- This National Science Foundation Project Grant award of $279,999 provides funding from Fiscal Year 2023 to 2026 under the federal Computer and Information Science and Engineering program (CFDA 47.070) to the University of Massachusetts Amherst. The award will support research activities to develop a cross-system architecture design for autonomous wireless networks based on lifelong machine learning. Specifically, the University of Massachusetts Amherst will conduct research to advance the design...
- 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $122,598 to The Research Foundation For The State University Of New York (operating as State University College) to develop a system for automated resource management of 5G-enabled Internet of Things (IoT) devices. The key objectives are to: a) design 5G network slicing using massive MIMO for IoT devices, b) develop a reinforcement learning model to...
- This National Science Foundation Project Grant of $189,830 will support the creation of accurate maps of mobile broadband network coverage quality through 2025. Funded under the Computer and Information Science and Engineering program, the award brings together experts from the University of California, Santa Barbara and the Georgia Institute of Technology to develop mathematical models using latent Gaussian processes. These models will combine multiple measurement datasets to predict how...
GOALI: CNS: MEDIUM: COMMUNICATION-COMPUTATION CO-DESIGN FOR RURAL CONNECTIVTIY AND INTELLIGENCE UNDER NONUNIFORMITY: MODELING, ANALYSIS, AND IMPLEMENTATION -URBAN SOCIETIES THROUGHOUT THE WORLD HAVE COME TO DEPEND ON ACCESS TO RELIABLE AND HIGH-SPEED WIRELESS, AS WELL AS THE INTELLIGENT DATA-DRIVEN SERVICES THEY CAN DELIVER TO END USERS. LOW POPULATION DENSITIES AND SPARSE INFRASTRUCTURE IN RURAL AREAS, HOWEVER, MAKE THEM LESS ATTRACTIVE FOR INVESTMENT IN NETWORK CONNECTIVITY. FIFTH GENERATION (5G)?S SUPPORT FOR VERTICAL INDUSTRY INTEGRATION HAS FURTHER MAGNIFIED THE BROADBAND ACCESS INEQUALITIES BETWEEN URBAN AND RURAL ENVIRONMENTS. TECHNOLOGIES THAT HAVE BEEN PROPOSED TO PROVIDE RURAL BROADBAND ACCESS ARE NOT DESIGNED TO ADDRESS THE NON-UNIFORMITY IN DEMAND FOR COMMUNICATION AND COMPUTATION RESOURCES THAT ARE FOUND THROUGHOUT THESE ENVIRONMENTS; FOR EXAMPLE, MANY AUTOMATED FARMING SERVICES WILL HAVE STRINGENT DELAY REQUIREMENTS FOR SHORT PERIODS DURING THE DAY WHILE RESIDENTIAL AREAS EXHIBIT TRADITIONAL DIURNAL PATTERNS. THIS PROJECT AIMS TO ADDRESS THIS CHALLENGE BY ESTABLISHING A CORE SET OF METHODOLOGIES THAT SYNERGIZE THE DESIGN OF RURAL CONNECTIVITY AND COMPUTING. EMERGING MASSIVE MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) TECHNOLOGY IS INTEGRATED WITH THE DESIGN OF HIERARCHICAL DATA PROCESSING ARCHITECTURES ACROSS THE RURAL INFRASTRUCTURE TO ADAPT BASED ON SPATIAL AND TEMPORAL DEMAND VARIATIONS. EXTENSIVE EVALUATIONS ARE CONDUCTED BASED ON A MASSIVE MIMO PLATFORM AND WIRELESS DEVICE EQUIPMENT AVAILABLE FROM THE INDUSTRIAL PARTNER. THE PROJECT CONTRIBUTES TO THE DEVELOPMENT OF A DIVERSE WORKFORCE IN RURAL BROADBAND AND INTELLIGENCE THROUGH THE FORMATION OF RESEARCH TEAMS INTEGRATING UNDERGRADUATE AND GRADUATE STUDENTS ACROSS INSTITUTIONS. PROJECT RESEARCH ACTIVITIES ARE ORGANIZED INTO THREE THRUSTS. THRUST 1 DEVELOPS AGILE COMMUNICATION TECHNIQUES UNDER NON-UNIFORM RURAL SETTINGS, ADDRESSING THE NEEDS FOR MULTI-USER MANAGEMENT AND RESOURCE ALLOCATION FOR MASSIVE MIMO INFRASTRUCTURE. THIS INCLUDES THE DEVELOPMENT OF NOVEL NETWORK CONTROL ALGORITHMS WITH SCHEDULING POLICIES THAT ARE CUSTOMIZED FOR HETEROGENEOUS RURAL CONNECTIVITY NEEDS. THE DEVELOPED ALGORITHMS ARE FURTHER ENHANCED BY REDUCING SCHEDULING OVERHEAD THROUGH POSITION-AIDED CHANNEL REPRESENTATION TECHNIQUES. THRUST 2 INVESTIGATES THE ORCHESTRATION OF COMPUTATION TASKS UNDER RURAL NON-UNIFORMITY, FOCUSING ON ESTABLISHING INTELLIGENT RURAL DATA PROCESSING ARCHITECTURES LEVERAGING THE BROADBAND CONNECTIVITY PROVIDED BY THRUST 1. TECHNIQUES FOR DISTRIBUTING DATA PROCESSING AMONG CLUSTERS OF RURAL DEVICES AIMING TO EXECUTE COLLABORATIVE TASKS RAPIDLY ARE DEVELOPED VIA JOINT OPTIMIZATION OF DEVICE-TO-DEVICE COMMUNICATIONS AND TASK UTILITY METRICS. THE ORCHESTRATION OF DATA PROCESSING AND INTELLIGENCE SYNCHRONIZATION STEPS ALONG THE RURAL NETWORK HIERARCHY IS ALSO CONSIDERED TO ADAPT BASED ON TASK DEMAND VARIATIONS. THRUST 3 CONSISTS OF PROOF-OF-CONCEPT IMPLEMENTATION AND TESTING OF THE METHODOLOGIES IN THRUST 1 & 2. THIS EMPLOYS A TESTBED DEVELOPED LEVERAGING A COMMERCIAL-GRADE HYBRID MASSIVE MIMO BASE STATION SYSTEM ENGINEERED BY THE INDUSTRIAL PARTNER. THIS PROJECT IS JOINTLY FUNDED BY CNS AND THE ESTABLISHED PROGRAM TO STIMULATE COMPETITIVE RESEARCH (EPSCOR). 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 NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 4/18/25 | ||
| Not listed | $82.2k | 3/4/25 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
ASUB00002058S | Purdue University | Project Grant 2514415 | $319.1k | 7/1/25 | |
ASUB00002059S | University Of Kansas Center For Research Inc. | Project Grant 2514415 | $168.5k | 6/16/25 |