STTR Phase I: SpiderRadio: Enabling Cognitive Dynamic Spectrum Access Wireless Communications

Award Information
Agency:
National Science Foundation
Branch:
N/A
Amount:
$149,978.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
1212357
Agency Tracking Number:
1212357
Solicitation Year:
2012
Solicitation Topic Code:
ES
Solicitation Number:
N/A
Small Business Information
Instream Media LLC
45 Line Road, Holmdel, NJ, 07733-1741
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
078460286
Principal Investigator
 Vijay Kumar
 (201) 216-8642
 vijaypkumar@yahoo.com
Business Contact
 Vijay Kumar
Phone: (201) 216-8642
Email: vijaypkumar@yahoo.com
Research Institution
 Stevens Institute of Technology
 Rajarathnam Chandramouli
 1 Castle Point
New Jersey, NJ, 07030-
 () -
 Nonprofit college or university
Abstract
This Small Business Technology Transfer (STTR) Phase I project consists of the research and development of a comprehensive, integrated multi-layer solution for cognition enabled dynamic spectrum access wireless communications. Several spectrum measurement studies indicate that valuable radio spectrum is severely underutilized. This has resulted in time and geographical region specific spectrum holes or white spaces. The intellectual merits of this project consists of the following technical objectives: (a) development of sensing algorithms to identify unused or underused spectrum in real-time by optimally trade-off sensing accuracy for delay; (b) design of a medium access control protocol that will enable dynamic spectrum access based on the information provided by the sensing algorithms; (c) development of a multi-network communication protocol to enhance spectrum access; and (d) cross-layer optimization of these protocols to significantly improve the data rate while achieving the application delay constraints. The broader impact/commercial potential of this project will be in the understanding of practically achievable performance of cognitive dynamic spectrum access wireless networks. Highly accurate models and simulation tools for designing cognitive wireless networks will be developed. These will be very valuable to the technical and practitioner communities. The proposed technology will lead to interoperable wireless public safety communications, low cost rural broadband connectivity in television white spaces, and infrastructure for robust mobile video applications. The combined market size for these sectors is estimated to be several billion dollars, globally.

* information listed above is at the time of submission.

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