2304143
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: A software-based tool for Beyond Visual Line of Sight (BVLOS) drone's connection reliability enhancement - The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will improve autonomous unmanned aerial systems (UAS) services used in package delivery, aerial surveillance, and infrastructure inspections.
The goal of the effort is to provide UAS services beyond the visual line of sight (BVLOS) and enable reliable communication links to remote ground control stations. Existing solutions for control of BVLOS drones are based on either satellite connections with expensive subscription fees or cellular-based products with limited network availability, frequent interruptions, and high interference.
The team's integrated software solution will enhance the connection reliability for BVLOS drones using the voice channel redundancy of the existing mobile network (2G/3G/4G/5G), identify and mitigate the circumstances of the link failure, and provide an accurate visualization of the network coverage for optimal route selection. The team's ubiquitous, ultrareliable, and low-latency communication technology allows cellular-connected UAS service providers to reliably control their long-range UAS and benefit from fewer mission abortions and reduced costs compared to satellite links.
The flexibility of the software solution can serve every drone use case and can get more drone companies through the regulatory approval process faster, reducing the time to enter the market. This Small Business Innovation Research (SBIR) Phase II project seeks to develop a software-based solution that provides scalable, redundant, and guaranteed cellular network connection for BVLOS drones. The proprietary software solution is based on three enabling features: voice channel redundancy, a connection selection algorithm, and a network mapping tool.
In this project, the research and development efforts will be dedicated to:
1) The development of the scalable software-only version of the data-over-voice technology operating with commercial off-the-shelf communication hardware,
2) Implementation of software solutions to make drone connectivity reliable end-to-end and dynamically adapt to the requirements of drone use cases,
3) Development of the aerial network coverage visualization tool to provide the drone industry with valuable insights into connectivity in airspace,
4) Firmware implementation of solutions for overcoming the connectivity failures and further enhancing the network reliability, and
5) Development of an application programming interface (API) which manages connectivity dashboard.
The successful completion of these activities will deliver the fully functional software-only solution for BVLOS drones with its safety and performance validated with ground/air measurements, thus confirming the commercial potential. 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.
The goal of the effort is to provide UAS services beyond the visual line of sight (BVLOS) and enable reliable communication links to remote ground control stations. Existing solutions for control of BVLOS drones are based on either satellite connections with expensive subscription fees or cellular-based products with limited network availability, frequent interruptions, and high interference.
The team's integrated software solution will enhance the connection reliability for BVLOS drones using the voice channel redundancy of the existing mobile network (2G/3G/4G/5G), identify and mitigate the circumstances of the link failure, and provide an accurate visualization of the network coverage for optimal route selection. The team's ubiquitous, ultrareliable, and low-latency communication technology allows cellular-connected UAS service providers to reliably control their long-range UAS and benefit from fewer mission abortions and reduced costs compared to satellite links.
The flexibility of the software solution can serve every drone use case and can get more drone companies through the regulatory approval process faster, reducing the time to enter the market. This Small Business Innovation Research (SBIR) Phase II project seeks to develop a software-based solution that provides scalable, redundant, and guaranteed cellular network connection for BVLOS drones. The proprietary software solution is based on three enabling features: voice channel redundancy, a connection selection algorithm, and a network mapping tool.
In this project, the research and development efforts will be dedicated to:
1) The development of the scalable software-only version of the data-over-voice technology operating with commercial off-the-shelf communication hardware,
2) Implementation of software solutions to make drone connectivity reliable end-to-end and dynamically adapt to the requirements of drone use cases,
3) Development of the aerial network coverage visualization tool to provide the drone industry with valuable insights into connectivity in airspace,
4) Firmware implementation of solutions for overcoming the connectivity failures and further enhancing the network reliability, and
5) Development of an application programming interface (API) which manages connectivity dashboard.
The successful completion of these activities will deliver the fully functional software-only solution for BVLOS drones with its safety and performance validated with ground/air measurements, thus confirming the commercial potential. 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 PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22552
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
New York,
New York
10044-1500
United States
Geographic Scope
Single Zip Code
Related Opportunity
22-552
Analysis Notes
Amendment Since initial award the End Date has been extended from 08/31/25 to 02/28/26.
Voltela was awarded
Cooperative Agreement 2304143
worth $998,998
from National Science Foundation in September 2023 with work to be completed primarily in New York New York United States.
The grant
has a duration of 2 years 5 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:A software-based tool for beyond visual line of sight (BVLOS) drone's connection reliability enhancement
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will improve Autonomous Unmanned Aerial Systems (UAS) services used in package delivery, aerial surveillance, and infrastructure inspections.The goal of the effort is to provide UAS services beyond the visual line of sight (BVLOS) and enable reliable communication links to remote ground control stations. Existing solutions for control of BVLOS drones are based on either satellite connections with expensive subscription fees or cellular-based products with limited network availability, frequent interruptions, and high interference. The team’s integrated software solution will enhance the connection reliability for BVLOS drones using the voice channel redundancy of the existing mobile network (2G/3G/4G/5G), identify and mitigate the circumstances of the link failure, and provide an accurate visualization of the network coverage for optimal route selection. The team’s ubiquitous, ultrareliable, and low-latency communication technology allows cellular-connected UAS service providers to reliably control their long-range UAS, and benefit from fewer mission abortions and reduced costs compared to satellite links. The flexibility of the software solution can serve every drone use case and can get more drone companies through the regulatory approval process faster, reducing the time to enter the market._x000D_ _x000D_ This Small Business Innovation Research (SBIR) Phase II project seeks to develop a software-based solution that provides scalable, redundant, and guaranteed cellular network connection for BVLOS drones. The proprietary software solution is based on three enabling features voice channel redundancy, a connection selection algorithm and a network mapping tool. In this project, the research and development efforts will be dedicated to 1) the development of the scalable software-only version of the data-over-voice technology operating with commercial off-the-shelf communication hardware, 2) implementation of software solutions to make drone connectivity reliable end-to-end and dynamically adapt to the requirements of drone use cases; 3) development of the aerial network coverage visualization tool to provide the drone industry with valuable insights into connectivity in airspace, 4) firmware implementation of solutions for overcoming the connectivity failures and further enhancing the network reliability, and 5) development of an application programming interface (API) which manages connectivity dashboard. The successful completion of these activities will deliver the fully functional software-only solution for BVLOS drones with its safety and performance validated with ground/air measurements, thus confirming the commercial potential._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
W
Solicitation Number
NSF 22-552
Status
(Ongoing)
Last Modified 3/18/25
Period of Performance
9/15/23
Start Date
2/28/26
End Date
Funding Split
$999.0K
Federal Obligation
$0.0
Non-Federal Obligation
$999.0K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2304143
Additional Detail
Award ID FAIN
2304143
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
W3L4P8L8S157
Awardee CAGE
8US36
Performance District
NY-12
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
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) | $998,998 | 100% |
Modified: 3/18/25