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A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio

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Cognitive Radio Oriented Wireless Networks (CrownCom 2015)

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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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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

    Mustafa Alshawaqfeh, Xu Wang, Ali Rıza Ekti & Erchin Serpedin

  2. Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar

    Muhammad Zeeshan Shakir & Khalid Qaraqe

Authors
  1. Mustafa Alshawaqfeh
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  2. Xu Wang
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  3. Ali Rıza Ekti
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  4. Muhammad Zeeshan Shakir
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  5. Khalid Qaraqe
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  6. Erchin Serpedin
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Corresponding author

Correspondence to Ali Rıza Ekti .

Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Doha, Qatar

    Mark Weichold

  2. Hamad Bin Khalifa University, Doha, Qatar

    Mounir Hamdi

  3. Texas A&M University of Qatar, Doha, Qatar

    Muhammad Zeeshan Shakir

  4. Texas A&M University at Qatar, Doha, Qatar

    Mohamed Abdallah

  5. Greece and Khalifa University,, Aristotle University of Thessaloniki,, United Arab Emirates, United Arab Emirates

    George K. Karagiannidis

  6. Texas A&M University at Qatar, Doha, Qatar

    Muhammad Ismail

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© 2015 Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Alshawaqfeh, M., Wang, X., Ekti, A.R., Shakir, M.Z., Qaraqe, K., Serpedin, E. (2015). A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio. In: Weichold, M., Hamdi, M., Shakir, M., Abdallah, M., Karagiannidis, G., Ismail, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 156. Springer, Cham. https://doi.org/10.1007/978-3-319-24540-9_66

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  • DOI: https://doi.org/10.1007/978-3-319-24540-9_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24539-3

  • Online ISBN: 978-3-319-24540-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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