Cognitive Radio and Networking Research at Virginia Tech

More than a dozen Wireless @ Virginia Tech faculty are working to address the broad research agenda of cognitive radio and cognitive networks. Our core research team spans the protocol stack from radio and reconfigurable hardware to communications theory to the networking layer. Our work includes ne...

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Bibliographic Details
Published in:Proceedings of the IEEE 2009-04, Vol.97 (4), p.660-688
Main Authors: MacKenzie, Allen B., Park, Jung-Min, Patterson, Cameron, Raman, Sanjay, da Silva, Claudio R. C. M., Reed, Jeffrey H., Athanas, Peter, Bostian, Charles W., Buehrer, R. Michael, DaSilva, Luiz A., Ellingson, Steven W., Hou, Y. Thomas, Hsiao, Michael
Format: Article
Language:English
Subjects:
Application software
Architecture
Automatic modulation classification
cognitive networks
Cognitive radio
Computer architecture
dynamic spectrum access
Dynamical systems
Dynamics
Engines
Focusing
Game theory
genetic algorithms
Hardware
History
multiple-input multiple-output (MIMO)
Networks
Protocols
Radio
Radio control
radio-frequency integrated circuit design
Radios
Software architecture
software defined radio
spectrum sensing
Stacks
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Summary:More than a dozen Wireless @ Virginia Tech faculty are working to address the broad research agenda of cognitive radio and cognitive networks. Our core research team spans the protocol stack from radio and reconfigurable hardware to communications theory to the networking layer. Our work includes new analysis methods and the development of new software architectures and applications, in addition to work on the core concepts and architectures underlying cognitive radios and cognitive networks. This paper describes these contributions and points towards critical future work that remains to fulfill the promise of cognitive radio. We briefly describe the history of work on cognitive radios and networks at Virginia Tech and then discuss our contributions to the core cognitive processing underlying these systems, focusing on our cognitive engine. We also describe developments that support the cognitive engine and advances in radio technology that provide the flexibility desired in a cognitive radio node. We consider securing and verifying cognitive systems and examine the challenges of expanding the cognitive paradigm up the protocol stack to optimize end-to-end network performance. Lastly, we consider the analysis of cognitive systems using game theory and the application of cognitive techniques to problems in dynamic spectrum sharing and control of multiple-input multiple-output radios.
ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2009.2013022