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Research Spending & Results

Award Detail

Doing Business As Name:University of Nebraska-Lincoln
  • Marilyn C Wolf
  • (402) 472-2401
Award Date:11/14/2019
Estimated Total Award Amount: $ 137,038
Funds Obligated to Date: $ 137,038
  • FY 2017=$42,134
  • FY 2018=$94,904
Start Date:09/01/2019
End Date:06/30/2021
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CSR: Medium: Collaborative Research: Embedded System Design Optimization and Adaptation using Compact System-Level Models
Federal Award ID Number:2002853
DUNS ID:555456995
Parent DUNS ID:068662618
Program:CSR-Computer Systems Research
Program Officer:
  • Marilyn McClure
  • (703) 292-5197

Awardee Location

Street:151 Prem S. Paul Research Center
Awardee Cong. District:01

Primary Place of Performance

Organization Name:University of Nebraska-Lincoln
Street:151 Prem S Paul Research Center
Cong. District:01

Abstract at Time of Award

This project will develop new techniques to help advanced computing systems for signal processing better adapt to the environments in which they operate. This project is important because signal processing is everywhere (cell phones, computer networks, manufacturing systems, agriculture, etc.). Adapting to the environment helps these systems to operate more reliably by, for example, adapting to changing radio interference or the challenging radio environments presented by clusters of tall buildings. Many of these communication systems are also battery-operated or must run on limited energy; adapting to their operating environments helps to reduce their energy consumption and improve battery life. These techniques are particularly useful for cognitive radio, an emerging technology that allows devices for wireless communication (such as cell phones) to more efficiently use radio spectrum. This project will develop new methods for creating software that can be reconfigured at run time. Typical software is created to operate in a particular mode; changing the software?s operating conditions requires redesigning the software itself. New mathematical models and algorithms will allow system designers to create software that is designed to adapt itself dynamically to its environment. The project will address both models specifying the behavior of the software and for translating that specification into an efficient implementation. The principal investigators will collaborate with colleagues at the Institut National des Sciences Appliquées (INSA) in Rennes, France, and National Chiao Tung University in Hsinchu, Taiwan. The collaborators in France and Taiwan will provide expertise in cognitive radio algorithms and hardware that complements the principal investigators? expertise in software design. The collaboration will also provide valuable international experience for the student research assistants involved in the project. Cognitive radio will be used a driving example in coursework for undergraduate and graduate students to integrate research results from this project into education. The PIs will actively recruit underrepresented minority students for this project.

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