Cognitiveradio and Networking Research at Virginia Tech
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Cognitive Radio and Networking Research at Virginia Tech
A large research team with a wide range of expertiseVfrom ICs and reconfigurable computing to wireless networkingVworks to achieve the promise of cognitive radio.
By Allen B. MacKenzie, Senior Member IEEE , Jeffrey H. Reed, Fellow IEEE , Peter Athanas, Senior Member IEEE , Charles W. Bostian, Fellow IEEE , R. Michael Buehrer, Senior Member IEEE , Luiz A. DaSilva, Senior Member IEEE , Steven W. Ellingson, Senior Member IEEE , Y. Thomas Hou, Senior Member IEEE , Michael Hsiao, Senior Member IEEE , Jung-Min Park, Member IEEE , Cameron Patterson, Senior Member IEEE , Sanjay Raman, Senior Member IEEE , and Claudio R. C. M. da Silva, Member IEEE
More…show more content… The authors are with Wireless @ Virginia Tech, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA. Digital Object Identifier: 10.1109/JPROC.2009.2013022
Proceedings of the IEEE | Vol. 97, No. 4, April 2009
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MacKenzie et al.: Cognitive Radio and Networking Research at Virginia Tech
often appear to learn and innovate, in turn, is characteristic of work in artificial intelligence. The astute reader will note that neither our definition of CR nor the primary factor motivating the introduction of these radios explicitly mentions dynamic spectrum access (DSA). Our distinction between CR and DSA is intentionalVwe believe that the application of cognitive techniques, while appropriate to enable DSA, is much broader than DSA alone. DSA, though, is important if only because of its looming presence as a Bkiller application[ for cognitive techniques. For nearly a century, allocation of spectrum throughout the world has been based on a model of static allocation. More recently, it has been realized that this model leads to gross inefficiencies. While the entire radio spectrum from 6 kHz to 300 GHz is allocated , at any given point in space and time, most of the spectrum is unused (e.g.,