| NSF Org: |
ECCS Division of Electrical, Communications and Cyber Systems |
| Recipient: |
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| Initial Amendment Date: | September 3, 2010 |
| Latest Amendment Date: | June 27, 2013 |
| Award Number: | 1028790 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
George Haddad
ECCS Division of Electrical, Communications and Cyber Systems ENG Directorate for Engineering |
| Start Date: | September 1, 2010 |
| End Date: | August 31, 2014 (Estimated) |
| Total Intended Award Amount: | $249,972.00 |
| Total Awarded Amount to Date: | $255,972.00 |
| Funds Obligated to Date: |
FY 2011 = $89,271.00 FY 2012 = $83,698.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
6100 MAIN ST Houston TX US 77005-1827 (713)348-4820 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
6100 MAIN ST Houston TX US 77005-1827 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | CCSS-Comms Circuits & Sens Sys |
| Primary Program Source: |
01001112DB NSF RESEARCH & RELATED ACTIVIT 01001213DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.041 |
ABSTRACT
The objective of this research is to improve design of collaboratively discovering unused spectrum in a revolutionary wireless communication paradigm, the cognitive-radio network, in which cognitive-radio users can detect and share the unused spectrum. The proposed approach is to apply collaborative compressive sensing to increase spectrum sensing bandwidth, speed, and accuracy.
Specifically, the cognitive radios, rather than sweeping a set of channels sequentially, will sense linear combinations of the powers of multiple channels and report them to the fusion center, where the occupied channels are recovered using compressive sensing algorithms. Missing and erroneous reports can be exactly recovered by matrix completion since the matrix of all reports has a low-rank. Prior knowledge of channel gains is not required. The system computes more but senses much less and faster, which will be validated by both numerical and USRP2-based simulations.
The proposed research is potentially transformative as the novel framework and algorithms will broadly apply to signal sensing involving multiple sensors, modalities, and data sources. This research will have a broader impact on several audiences. The study of the jointly-sparse signal reconstruction will contribute to researchers working in compressive sensing and wireless networks. The hardware implementation will bring fresh ideas to the industrial community. The proposed research will be integrated into the existing combined education/research effort at the University of Houston and Rice University, improve education of under-represented minorities at the two institutions, and expose students to state-of-the-art research in wireless networks and compressive sensing through the NSF sponsored VIGRE program.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Last Modified: 11/29/2014
Modified by: Wotao Yin
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