SBIR-STTR Award

Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation Techniques
Award last edited on: 10/27/2015

Sponsored Program
STTR
Awarding Agency
DOD : AF
Total Award Amount
$849,859
Award Phase
2
Solicitation Topic Code
AF10-BT09
Principal Investigator
Andrew L Drozd

Company Information

ANDRO Computational Solutions LLC (AKA: Andro Consulting Services ANDROCS)

7980 Turin Road Building 1
Rome, NY 13440
   (315) 334-1163
   androcs@androcs.com
   www.androcs.com

Research Institution

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Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2011
Phase I Amount
$99,996
The primary objective of this STTR project is to develop a completely new approach to cognitive joint routing and spectrum allocation that will enable next-generation cognitive wireless networking between space, air, and ground USAF assets. The majority of cognitive radio network proposals rely on the notion of spectrum holes. This proposal will develop a system where cognitive users transmit wideband spread-spectrum signals that are designed to adaptively avoid the interference dynamics of the available spectrum at the receiver. In this way, cognitive users implicitly cooperate with existing narrowband or wideband users of the spectrum without effectively limiting each individual device’s throughput, operating distance, or both. This project will first demonstrate the feasibility of our new approach, referred to as cooperative spread-spectrum access, in terms of enhanced throughput, reliability, and reduced delay. We will then develop a new theoretical framework based on nonlinear optimization to rigorously derive provably-efficient distributed algorithms for joint adaptive cognitive routing and spread-spectrum allocation (code/signature and power) based on waveforms compatible with existing DoD programs. If we are successful, we will set the technological foundation and prototype technology that will be instrumental towards developing the next generation cognitive networking technology to maintain air superiority and spectral dominance.

Benefits:
If we are successful, we will set the technological foundation and prototype technology that will be instrumental towards developing the next generation cognitive networking technology between USAF space, air, and ground assets and achieve an at least ten-fold improvement in network throughput, delay, and reliability.

Keywords:
cognitive radio, dynamic network routing, spread spectrum, cognitive routing, nonlinear optimization

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2012
Phase II Amount
$749,863
The ultimate objective of the joint effort is to develop technology that will enable next-generation cognitive wireless networking between USAF space, air, and ground assets and achieve significant improvement in network throughput, delay, and reliability. Current practices that evolve around standard ad hoc networking techniques based on the layered protocol stack with fixed spectrum allocation are known to offer inadequate throughput and reliability in highly dynamic adversarial communication environments such as the space/air/ground USAF domain. The objective of this project is therefore to investigate, study, and demonstrate a completely new approach to joint routing and spectrum allocation. While the core of cognitive radio network proposals rely on the notion of spectrum hole, i.e., radios attempt to find a single unused band which can be opportunistically used by secondary users, in the work outlined in this report cognitive users transmit wideband spread-spectrum signals that are designed to adaptively avoid the interference dynamics of the available spectrum at the receiver.

Benefits:
If we are successful, we will implement and demonstrate the dynamic network control technology that will be instrumental towards developing the next generation cognitive networking technology between USAF space, air, and ground assets and achieve a significant improvement in network throughput, delay, and reliability.

Keywords:
cognitive radio, dynamic network routing, spread spectrum, cognitive routing, nonlinear optimization