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
Link To Document