Cognitive radio realities

  • Authors:
  • Bin Le;Thomas W. Rondeau;Charles W. Bostian

  • Affiliations:
  • Bradley Department of Electrical and Computer Engineering, Center for Wireless Telecommunications—Wireless@VT, Virginia Tech, Blacksburg, VA 24061-0111, U.S.A.;Bradley Department of Electrical and Computer Engineering, Center for Wireless Telecommunications—Wireless@VT, Virginia Tech, Blacksburg, VA 24061-0111, U.S.A.;Bradley Department of Electrical and Computer Engineering, Center for Wireless Telecommunications—Wireless@VT, Virginia Tech, Blacksburg, VA 24061-0111, U.S.A.

  • Venue:
  • Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
  • Year:
  • 2007

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Abstract

A cognitive radio (CR) is a transceiver that is aware, adaptive, and capable of learning. It may be visualized and realized as an intelligent software package (cognitive engine) controlling a software defined radio platform. The cognitive engine executes a set of nested loops constituting a cognition cycle, drawing on experience and stored knowledge to optimize a set of user-chosen quality of service measures. The process relies on the effectiveness of a set of tools that are individually well known but rarely found together: multi-objective genetic algorithms, case-based decision theory, and neural networks. Practical implementation problems include passing environmental information from the radio to the cognitive engine, acting on that information, and performing real-time control of the radio platform by the cognitive engine. In this paper, we discuss our approach to developing and implementing a CR. Copyright © 2007 John Wiley & Sons, Ltd. Dr. Mitola's affiliation with The MITRE Corporation is provided for identification purposes only and does not imply the support of MITRE nor its sponsors for this publication nor the views expressed.