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2322307

Project Grant

Overview

Grant Description
Sbir Phase I: Massively Parallel Protocols for Software-Based Wireless Systems -The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project lies in its potential to implement state-of-the-art radio communication systems faster and less expensively.

Radio systems are an essential part of everyday life, serving roles from entertainment to public safety. But modern radio systems, designed to use the limited number of available frequencies efficiently, are expensive to develop and deploy. A major reason for the high cost is that custom silicon chips are needed to do the processing that converts a weak radio signal into useful data.

This project aims to make radio systems much cheaper to build. Instead of building custom chips, the team uses commodity computers and specially designed software that can run the radio processing tasks at high speed. This speed is enabled by technology that analyzes radio processing tasks and turns them into software which runs on a processor with many individual computing cores.

The economic impact is twofold: that technology can reduce the cost of existing systems, such as cellular LTE and 5G base stations, it also makes possible new applications which are too expensive to build from custom hardware. This SBIR Phase I project seeks to understand how to develop the processing needed in modern radio system quickly and efficiently.

The team also seeks to address the features of communications protocols that are hard to implement because the computations are too complicated or too much data needs to be examined before the final output is generated. They will also address the opportunities to change the protocol to eliminate the bottlenecks.

The technology will measure the how fast key radio algorithms run on commodity computing hardware and how much time is spent on essential, but not productive, tasks such as moving data between memories. The objective is a quantitative estimate of how much data can be transmitted or received by a radio implemented purely in software.

Ultimately, the team will design protocols that scale with the number of processor cores: twice as many processors giving twice the data throughput. 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.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Awarding / Funding Agency
Place of Performance
Berkeley, California 94702-1532 United States
Geographic Scope
Single Zip Code
Lutris was awarded Project Grant 2322307 worth $273,383 from National Science Foundation in September 2023 with work to be completed primarily in Berkeley California United States. The grant has a duration of 1 year and was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships. The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.

SBIR Details

Research Type
SBIR Phase I
Title
SBIR Phase I:Massively Parallel Protocols for Software-based Wireless Systems
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project lies in its potential to implement state-of-the-art radio communication systems faster and less expensively. Radio systems are an essential part of everyday life, serving roles from entertainment to public safety. But modern radio systems, designed to use the limited number of available frequencies efficiently, are expensive to develop and deploy. A major reason for the high cost is that custom silicon chips are needed to do the processing that converts a weak radio signal into useful data.This project aims to make radio systems much cheaper to build. Instead of building custom chips, the team uses commodity computers and specially designed software that can run the radio processing tasks at high speed. This speed is enabled by technology that analyzes radio processing tasks and turns them into software which runs on a processor with many individual computing cores.The economic impact is twofold: that technology can reduce the cost of existing systems, such as cellular LTE and 5G base stations, it also makes possible new applications which are too expensive to build from custom hardware._x000D_ _x000D_ This SBIR Phase I project seeks to understand how to develop the processing needed in modern radio system quickly and efficiently.The team also seeks to address the features of communications protocols that are hard to implement because the computations are too complicated or too much data needs to be examined before the final output is generated. They will also address the opportunities to change the protocol to eliminate the bottlenecks. The technology will measure the how fast key radio algorithms run on commodity computing hardware and how much time is spent on essential, but not productive, tasks such as moving data between memories. The objective is a quantitative estimate of how much data can be transmitted or received by a radio implemented purely in software. Ultimately, the team will design protocols that scale with the number of processor cores: twice as many processors giving twice the data throughput._x000D_ _x000D_ 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.
Topic Code
IT
Solicitation Number
NSF 23-515

Status
(Complete)

Last Modified 9/22/23

Period of Performance
9/15/23
Start Date
8/31/24
End Date
100% Complete

Funding Split
$273.4K
Federal Obligation
$0.0
Non-Federal Obligation
$273.4K
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to 2322307

Additional Detail

Award ID FAIN
2322307
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
ZE76YE8D9PM5
Awardee CAGE
99Z57
Performance District
CA-12
Senators
Dianne Feinstein
Alejandro Padilla

Budget Funding

Federal Account Budget Subfunction Object Class Total Percentage
Research and Related Activities, National Science Foundation (049-0100) General science and basic research Grants, subsidies, and contributions (41.0) $273,383 100%
Modified: 9/22/23