Vines: track 1: NSF-RCF: elevating resilience in aerial platform integrated THZ backhaul
Active Project Grant Awarded Last action
- Award ID
- 2549316
- Recipient
-
Oklahoma State University UEI NNYDFK5FTSX9
- Awarding agency
-
Division of Information and Intelligent Systems
National Science Foundation
- Obligated
- $560,000
Award facts
- Assistance listing
- 47.070 Computer and Information Science and Engineering
- Completion date 2% complete
- Place of performance
- Stillwater, OK 74078, USA
Award details come from USAspending.gov.
About this award
The National Science Foundation Division of Information and Intelligent Systems awarded Oklahoma State University $560,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop resilience in terahertz wireless backhaul systems integrated with aerial platforms such as drones and high-altitude balloons.
The project, executed through September 30, 2029, at Oklahoma State University's Stillwater, Oklahoma location, organizes research into three coordinated thrusts. The first thrust conducts aerial integrated measurement campaigns to collect terahertz communication and sensing data, quantifying blockage, misalignment, and adversarial effects. The second thrust develops artificial intelligence learning-based methods for turbulence prediction and real-time beam optimization. The third thrust addresses network-level strategies, including dynamic optimization and self-healing mechanisms for networks with multiple mobile aerial platforms. The work is international, with collaboration from the University of Oulu, Finland, and addresses the need for reliable terahertz connectivity in environments where fiber backhaul deployment is impractical, costly, or disruptive—including disaster recovery and temporary operations scenarios where such systems currently lack resilience against signal beam misalignment and atmospheric disturbances.
Description
- Abstract
- Wireless communication links using very high frequency signals in the terahertz band can deliver extremely fast data and high capacity, making them important components in future communication networks. These links can serve as backhauls, which connect core networks to smaller local networks, in places where fiber backhaul deployment is too difficult, too costly, or too disruptive. A promising approach to relay terahertz backhaul signals between distant locations is to combine communication hardware with aerial platforms such as drones or high-altitude balloons. Terahertz wireless connectivity can thereby be established in almost any scenario, including disaster recovery situations or temporary operations. However, such systems are not resilient, being highly sensitive to signal beam misalignment and atmospheric disturbances. This international collaborative project brings together experts from oklahoma state university, USA and the university of oulu, finland to address these challenges. The intellectual merit of this project lies in developing new models, algorithms, and experimental insights for achieving resilience in terahertz backhaul with aerial platforms. The work is organized into three coordinated research thrusts. The first thrust performs first-of-their-kind aerial integrated measurement campaigns to collect terahertz communication and sensing data, enabling quantitative analysis of blockage, misalignment, and adversarial effects. The second thrust develops AI learning-based methods for turbulence prediction and beam optimization, with real-time tracking. The third thrust focuses on network level strategies, including dynamic optimization and self-healing mechanisms for networks with multiple mobile aerial platforms. This project addresses the need for resilient wireless infrastructure by enabling reliable terahertz connectivity in environments where fiber is impractical. The outcomes support applications such as remote sensing, autonomous systems, disaster response, and temporary communication networks. The developed techniques can extend to other mobile networks, including autonomous driving and drone-based logistics. By integrating measurement-driven analysis, adaptive learning methods, physical-layer modeling, and secure communication strategies, the project establishes a broad research foundation upon which next-generation communications can advance further. Open datasets, open-source tools, and collaboration between united states and finnish institutions will promote cutting-edge workforce development and international scientific exchange. 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.
Quick answers
Who received award 2549316?
2549316 was awarded to Oklahoma State University by Division of Information and Intelligent Systems (National Science Foundation) on October 1, 2026.
How much is award 2549316 worth?
$560,000 has been obligated on 2549316.
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