Spectrum Planning and Management Capability for Radio Communications
Navy SBIR FY2008.1

Sol No.: Navy SBIR FY2008.1
Topic No.: N08-099
Topic Title: Spectrum Planning and Management Capability for Radio Communications
Proposal No.: N081-099-0662
Firm: Cognitive Radio Technologies, LLC
147 Mill Ridge Rd, Suite 119
Lynchburg, Virginia 24502
Contact: James Neel
Phone: (540) 230-6012
Web Site: www.crtwireless.com
Abstract: Leveraging game theoretic principles developed on an ONR basic research grant by the prime investigator at Virginia Tech, CRT has developed a suite of low-complexity joint spectrum monitoring and management algorithms intended for deployment as embedded processes in stationary nodes in ad-hoc networks which solve for optimal spectral reuse patterns in a policy constrained dynamic spectrum access (DSA) environment. Previous CRT studies showed that these algorithms can reduce interference by 30 dB and increase capacity 16 times. Because of the embodied game theoretic principles, these embedded processes operate independently yet ensure rapid network convergence and stability and resource allocations which minimize interference. By eliminating the need to coordinate actions or distribute operational information, these networks rapidly respond to changing conditions and the entry and exit of nodes and eliminate catastrophic failures induced by losses of critical nodes. This project refines these algorithms for use in military networks by adding mobility support and techniques to mitigate the presence of hostile users. To reduce the time to field these results, Phase I undertakes a detailed study of how to integrate the algorithms into the SCA and Phase II implements a prototype system on military radios running the WNW waveform.
Benefits: The proposed solution - embedded, low complexity software which enables autonomous spectral reuse optimization - can dramatically reduce interference and significantly increase capacity while reducing operator involvement. This will dramatically improve battlespace communications while decreasing the time required to set up tactical communication networks. Beyond military applications, embedded distributed spectrum optimizing processes will yield similar benefits to sensor networks (e.g., zigbee, WiMedia), vehicular networks (e.g., 802.11p), consumer networks (e.g., WiFi, home gateways, and femtocells), emerging secondary access networks (802.11y, 802.22) and virtually any other wireless network.