Project Grant 0660IF008
- This $9,960,960 federal Project Grant award from the National Telecommunications and Information Administration (CFDA 11.038 - Public Wireless Supply Chain Innovation Fund Grant Program) supports the development of SALSA (Spectrally Agile Large-Scale Arrays), a wideband, spectrally agile, and scalable radio frequency integrated circuit (RFIC) and transceiver. The goal is to integrate the RFIC with antennas and a digital interface to create an open radio unit (O-RU) for the Open Radio Access...
- This $800,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Rutgers, The State University in New Brunswick, NJ. The goal is to develop affordable, accurate, and near-real-time spectrum situational awareness and protection capabilities using backscatter radio fabric technology. Specifically, the project will: Develop a framework for multidimensional spectrum situational awareness using a backscatter fabric to...
- This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of new diagnostic testing methods for Open Radio Access Network (O-RAN) systems, which are critical components of 5G and future mobile network infrastructure. The $200,000 award, effective October 1, 2024 through September 30, 2027, aims to create a systematic approach to mobile network diagnostic testing that...
- This $200,000 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research project to develop new diagnostic testing methods for the Radio Access Network (RAN) subsystem of 5G and future mobile network technologies. The project aims to enhance RAN testing in three key areas: (1) improving test coverage by identifying dependencies and root causes, (2) enabling non-intrusive,...
- The National Telecommunications and Information Administration (NTIA), through the Public Wireless Supply Chain Innovation Fund Grant Program (CFDA 11.038), awarded a $3,387,426 project grant to Northeastern University. The funding will support the development and operationalization of AUTORAN, a new automated and continuous testing methodology for disaggregated radio access network (RAN) components. Key activities include extending private 5G continuous integration/continuous delivery (CI/CD)...
- 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 $200,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop new diagnostic testing methods for 5G and beyond mobile network infrastructure, particularly the Radio Access Network (RAN) subsystem. The project aims to address limitations in current RAN testing by: (1) enhancing test coverage through exploiting dependencies across RAN software procedures and interfaces, (2)...
- Under a $1,999,984 Project Grant from the Department of Commerce's National Telecommunications and Information Administration (CFDA 11.038 - Public Wireless Supply Chain Innovation Fund Grant Program), Phasorlab Inc. is leading the development of 5GLM, a large language model for realistic user equipment (UE) simulation and channel response modeling for 4G and 5G radio access networks. Phasorlab is partnering with Cimulate Inc. and Parallel Wireless as sub-recipients on this 2-year project. The...
- The federal Project Grant award, provided by the National Telecommunications and Information Administration (NTIA) under the Public Wireless Supply Chain Innovation Fund Grant Program (CFDA 11.038), aims to re-establish U.S. leadership in the radio unit (RU) market for massive multiple input-multiple output (MIMO) open radio units (O-RUs). The $56,232,784.75 grant, awarded on January 1, 2025, will support Abside Networks Inc. in developing and commercializing two VLA O-RU models based on its...
- This $200,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will support the development of an experimental testbed for research and evaluation to benefit both "AI for Wireless" and "Wireless for AI" applications. The project aims to create an integrated wireless and AI infrastructure that can be used by the research community to develop and evaluate novel solutions for advanced...
This $1,964,462 federal Project Grant award, funded through the Public Wireless Supply Chain Innovation Fund (CFDA 11.038) program administered by the Department of Commerce's National Telecommunications and Information Administration (NTIA), supports a collaborative research project between the Open Networking Foundation (ONF) and Rutgers University's WINLAB. The key objectives of this two-year grant are to: 1) Develop test methods to accurately measure power consumption of 5G radio access network (RAN) and core network components; 2) Establish energy efficiency metrics and Key Performance Indicators (KPIs) to track and assess the effectiveness of energy optimization strategies; 3) Create energy consumption models to estimate power usage as a function of load; and 4) Evaluate the impacts of various energy-saving applications and techniques. Rutgers WINLAB, as a sub-recipient, will leverage its 5G testbed infrastructure and personnel to conduct experimental testing and research in support of these goals.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.0m | 11/21/23 |