A Survey of Artificial Intelligence for Cognitive Radios

作者：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

来源：IEEE Transactions on Vehicular Technology, 2010, 59(4): 1578-1592.

DOI：10.1109/TVT.2010.2043968

• Artificial intelligence (AI)
• cognitive engine (CE)
• cognitive radio (CR)

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), meta-heuristic 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.

• 出版日期2010-5
• 单位美国弗吉尼亚理工大学(Virginia Tech)