• DocumentCode
    1426214
  • Title

    A Survey of Artificial Intelligence for Cognitive Radios

  • Author

    He, An ; Bae, Kyung Kyoon ; Newman, Timothy R. ; Gaeddert, Joseph ; Kim, Kyouwoong ; Menon, Rekha ; Morales-Tirado, Lizdabel ; Neel, James Jody ; Zhao, Youping ; Reed, Jeffrey H. ; Tranter, William H.

  • Author_Institution
    Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    59
  • Issue
    4
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1578
  • Lastpage
    1592
  • Abstract
    Cognitive radio (CR) is an enabling technology for numerous new capabilities such as dynamic spectrum access, spectrum markets, and self-organizing networks. To realize this diverse set of applications, CR researchers leverage a variety of artificial intelligence (AI) techniques. To help researchers better understand the practical implications of AI to their CR designs, this paper reviews several CR implementations that used the following AI techniques: artificial neural networks (ANNs), metaheuristic algorithms, hidden Markov models (HMMs), rule-based systems, ontology-based systems (OBSs), and case-based systems (CBSs). Factors that influence the choice of AI techniques, such as responsiveness, complexity, security, robustness, and stability, are discussed. To provide readers with a more concrete understanding, these factors are illustrated in an extended discussion of two CR designs.
  • Keywords
    case-based reasoning; cognitive radio; hidden Markov models; neural nets; ontologies (artificial intelligence); telecommunication computing; artificial intelligence; artificial neural networks; case-based systems; cognitive radio; dynamic spectrum access; hidden Markov models; metaheuristic algorithms; ontology-based systems; rule-based systems; self-organizing networks; spectrum markets; Artificial intelligence (AI); cognitive engine (CE); cognitive radio (CR);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2010.2043968
  • Filename
    5420026