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. Return