A survey of machine learning algorithms and their applications in cognitive radio

Mustafa Alshawaqfeh, Xu Wang, Ali Riza Ekti, Erchin Serpedin, Muhammad Zeeshan Shakir, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive radio (CR) technology is a promising candidate for next generation intelligent wireless networks. The cognitive engine plays the role of the brain for the CR and the learning engine is its core. In order to fully exploit the features of CRs, the learning engine should be improved. Therefore, in this study, we discuss several machine learning algorithms and their applications for CRs in terms of spectrum sensing, modulation classification and power allocation.
Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks
Subtitle of host publication10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers
EditorsMark Weichold, Mounir Hamdi, Muhammad Zeeshan Shakir, Mohamed Abdallah, George K. Karagiannidis
PublisherSpringer Nature
Pages790-801
Number of pages12
Volume156
ISBN (Electronic)9783319245409
ISBN (Print)9783319245393
DOIs
Publication statusPublished - 23 Apr 2015
Externally publishedYes
Event10th International Conference on Cognitive Radio Oriented Wireless Networks - Hilton Hotel, Doha, Qatar
Duration: 21 Apr 201523 Apr 2015
http://crowncom.org/2015/show/home

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
Volume156
ISSN (Print)1867-8211

Conference

Conference10th International Conference on Cognitive Radio Oriented Wireless Networks
Abbreviated titleCrownCom'2015
CountryQatar
CityDoha
Period21/04/1523/04/15
Internet address

Fingerprint

Cognitive radio
Learning algorithms
Learning systems
Engines
Wireless networks
Brain
Modulation

Keywords

  • cognitive radio
  • machine learning
  • learning engine
  • spectrum sensing
  • modulation classification

Cite this

Alshawaqfeh, M., Wang, X., Ekti, A. R., Serpedin, E., Shakir, M. Z., & Qaraqe, K. (2015). A survey of machine learning algorithms and their applications in cognitive radio. In M. Weichold, M. Hamdi, M. Z. Shakir, M. Abdallah, & G. K. Karagiannidis (Eds.), Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers (Vol. 156, pp. 790-801). (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 156). Springer Nature. https://doi.org/10.1007/978-3-319-24540-9_66
Alshawaqfeh, Mustafa ; Wang, Xu ; Ekti, Ali Riza ; Serpedin, Erchin ; Shakir, Muhammad Zeeshan ; Qaraqe, Khalid. / A survey of machine learning algorithms and their applications in cognitive radio. Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers. editor / Mark Weichold ; Mounir Hamdi ; Muhammad Zeeshan Shakir ; Mohamed Abdallah ; George K. Karagiannidis. Vol. 156 Springer Nature, 2015. pp. 790-801 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).
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abstract = "Cognitive radio (CR) technology is a promising candidate for next generation intelligent wireless networks. The cognitive engine plays the role of the brain for the CR and the learning engine is its core. In order to fully exploit the features of CRs, the learning engine should be improved. Therefore, in this study, we discuss several machine learning algorithms and their applications for CRs in terms of spectrum sensing, modulation classification and power allocation.",
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Alshawaqfeh, M, Wang, X, Ekti, AR, Serpedin, E, Shakir, MZ & Qaraqe, K 2015, A survey of machine learning algorithms and their applications in cognitive radio. in M Weichold, M Hamdi, MZ Shakir, M Abdallah & GK Karagiannidis (eds), Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers. vol. 156, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 156, Springer Nature, pp. 790-801, 10th International Conference on Cognitive Radio Oriented Wireless Networks, Doha, Qatar, 21/04/15. https://doi.org/10.1007/978-3-319-24540-9_66

A survey of machine learning algorithms and their applications in cognitive radio. / Alshawaqfeh, Mustafa ; Wang, Xu; Ekti, Ali Riza; Serpedin, Erchin; Shakir, Muhammad Zeeshan; Qaraqe, Khalid.

Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers. ed. / Mark Weichold; Mounir Hamdi; Muhammad Zeeshan Shakir; Mohamed Abdallah; George K. Karagiannidis. Vol. 156 Springer Nature, 2015. p. 790-801 (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Vol. 156).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Alshawaqfeh M, Wang X, Ekti AR, Serpedin E, Shakir MZ, Qaraqe K. A survey of machine learning algorithms and their applications in cognitive radio. In Weichold M, Hamdi M, Shakir MZ, Abdallah M, Karagiannidis GK, editors, Cognitive Radio Oriented Wireless Networks: 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21-23, 2015, Revised Selected papers. Vol. 156. Springer Nature. 2015. p. 790-801. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering). https://doi.org/10.1007/978-3-319-24540-9_66