5160IF2411
Project Grant
Overview
Grant Description
Purpose: This project takes DeepSig's commercial OMNISIG sensing software and adapts and integrates Jabil's production ready O-RU operating system.
The project fills a critical gap in the application of AI/ML techniques which will improve the ability of using open RUs for spectrum sensing to support future spectrum sharing capabilities.
Commercial Radio Access Network (RAN) products are the primary beneficiaries of this development.
Activities to be performed: This application seeks to develop advantages of AI enabled wideband spectrum sensing, enhance spectrum sharing, interference management, security, and monitoring.
DeepSig will embed OMNISIG-enabled sensing capability into AMD FPGAs used by Jabil RUs.
Expected outcomes: The project fills a critical gap in the application of AI/ML techniques which will improve the ability of using open RUs for spectrum sensing to support future spectrum sharing capabilities.
Intended beneficiaries: Commercial Radio Access Network (RAN) products.
Subrecipient activities: Warren Design will provide system, hardware, and software design engineering and perform testing at the module, unit, and system level to ensure performance in line with system design and simulations.
The project fills a critical gap in the application of AI/ML techniques which will improve the ability of using open RUs for spectrum sensing to support future spectrum sharing capabilities.
Commercial Radio Access Network (RAN) products are the primary beneficiaries of this development.
Activities to be performed: This application seeks to develop advantages of AI enabled wideband spectrum sensing, enhance spectrum sharing, interference management, security, and monitoring.
DeepSig will embed OMNISIG-enabled sensing capability into AMD FPGAs used by Jabil RUs.
Expected outcomes: The project fills a critical gap in the application of AI/ML techniques which will improve the ability of using open RUs for spectrum sensing to support future spectrum sharing capabilities.
Intended beneficiaries: Commercial Radio Access Network (RAN) products.
Subrecipient activities: Warren Design will provide system, hardware, and software design engineering and perform testing at the module, unit, and system level to ensure performance in line with system design and simulations.
Awardee
Funding Goals
TO ACCELERATE THE DEVELOPMENT, DEPLOYMENT, AND ADOPTION OF OPEN AND INTEROPERABLE RADIO ACCESS NETWORKS (RAN). IN THIS SECOND NOFO, NTIA AIMS TO ADVANCE OPEN RADIO UNIT (RU) COMMERCIALIZATION AND INNOVATION BY FUNDING ACTIVITIES THAT 1) ACCELERATE THE DEVELOPMENT OF OPEN RU PRODUCTS TO THE POINT WHERE THEY MEET CARRIER NEEDS AND ARE READY FOR COMMERCIAL TRIALS, AND 2) IMPROVE THE OVERALL PERFORMANCE AND CAPABILITIES OF OPEN RUS THROUGH TARGETED RESEARCH AND DEVELOPMENT.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Arlington,
Virginia
22203-4173
United States
Geographic Scope
Single Zip Code
Deepsig was awarded
AI-Enhanced Spectrum Sensing for Commercial RAN Products
Project Grant 5160IF2411
worth $9,998,638
from the National Institute of Standards and Technology in February 2025 with work to be completed primarily in Arlington Virginia United States.
The grant
has a duration of 3 years and
was awarded through assistance program 11.038 Public Wireless Supply Chain Innovation Fund Grant Program – Expanding Testing and Evaluation.
The Project Grant was awarded through grant opportunity Public Wireless Supply Chain Innovation Fund Grant Program - Open Radio Commercialization and Innovation.
Status
(Ongoing)
Last Modified 1/21/25
Period of Performance
2/1/25
Start Date
1/31/28
End Date
Funding Split
$10.0M
Federal Obligation
$0.0
Non-Federal Obligation
$10.0M
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
5160IF2411
SAI Number
5160IF2411_0
Award ID URI
EXE
Awardee Classifications
Small Business
Awarding Office
1333ND DEPT OF COMMERCE NIST
Funding Office
1331K2 DEPT OF COMMERCE NTIA
Awardee UEI
KQM1EEJGW6K8
Awardee CAGE
7S4V3
Performance District
VA-08
Senators
Mark Warner
Timothy Kaine
Timothy Kaine
Modified: 1/21/25